<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id><journal-id journal-id-type="publisher-id">mhealth</journal-id><journal-id journal-id-type="index">13</journal-id><journal-title>JMIR mHealth and uHealth</journal-title><abbrev-journal-title>JMIR Mhealth Uhealth</abbrev-journal-title><issn pub-type="epub">2291-5222</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v14i1e78637</article-id><article-id pub-id-type="doi">10.2196/78637</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Effect of a Comprehensive Mobile-Based Respiratory Training Program on Respiratory Function in Survivors of Acute Stroke: Randomized Controlled Trial</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Ma</surname><given-names>Zong-Ke</given-names></name><degrees>BSc</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name name-style="western"><surname>Jiang</surname><given-names>Han-Hong</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="equal-contrib1">*</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Tang</surname><given-names>Yan-Hua</given-names></name><degrees>MMed</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Yang</surname><given-names>Jia</given-names></name><degrees>BSc</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Wei</surname><given-names>Qing-Chuan</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Gao</surname><given-names>Qiang</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib></contrib-group><aff id="aff1"><institution>Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital of Sichuan University</institution><addr-line>No.37 Guoxue Lane, Wuhou District</addr-line><addr-line>Chengdu</addr-line><country>China</country></aff><aff id="aff2"><institution>Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital of Sichuan University</institution><addr-line>Chengdu</addr-line><country>China</country></aff><aff id="aff3"><institution>Department of Rehabilitation Medicine, Sichuan Mianyang 404 Hospital</institution><addr-line>Mianyang</addr-line><country>China</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Buis</surname><given-names>Lorraine</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Saornil</surname><given-names>Jorge Velazquez</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Sanchez-Mila</surname><given-names>Zacarias</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Qiang Gao, PhD, Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital of Sichuan University, No.37 Guoxue Lane, Wuhou District, Chengdu, 610041, China, +86-28-85422847; <email>gaoqiang_hxkf@163.com</email></corresp><fn fn-type="equal" id="equal-contrib1"><label>*</label><p>these authors contributed equally</p></fn></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>14</day><month>4</month><year>2026</year></pub-date><volume>14</volume><elocation-id>e78637</elocation-id><history><date date-type="received"><day>11</day><month>06</month><year>2025</year></date><date date-type="rev-recd"><day>25</day><month>01</month><year>2026</year></date><date date-type="accepted"><day>08</day><month>03</month><year>2026</year></date></history><copyright-statement>&#x00A9; Zong-Ke Ma, Han-Hong Jiang, Yan-Hua Tang, Jia Yang, Qing-Chuan Wei, Qiang Gao. Originally published in JMIR mHealth and uHealth (<ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org">https://mhealth.jmir.org</ext-link>), 14.4.2026. </copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org/">https://mhealth.jmir.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://mhealth.jmir.org/2026/1/e78637"/><abstract><sec><title>Background</title><p>Respiratory dysfunction frequently occurs during the acute phase of stroke and is associated with reduced ventilatory capacity, respiratory muscle weakness, and increased pulmonary complications. However, delivering standardized respiratory training during hospitalization is often constrained by staffing and service continuity.</p></sec><sec><title>Objective</title><p>This study aimed to evaluate the efficacy, safety, and feasibility of a hospital-based comprehensive mobile-based respiratory training program (CMRTP) added to conventional rehabilitation in people with acute stroke who are inpatients.</p></sec><sec sec-type="methods"><title>Methods</title><p>This single-center, assessor-blinded randomized controlled trial enrolled 40 patients within 2 weeks after stroke onset with respiratory dysfunction (forced vital capacity &#x003C;80% predicted). Participants were randomized (1:1) to CMRTP plus conventional rehabilitation or conventional rehabilitation alone. The CMRTP was delivered via the WeChat-based AIRHUB platform and performed 20 minutes twice daily, 5 days per week for 2 weeks, either independently or with caregiver assistance as needed. The primary outcome was change in forced vital capacity from baseline to week 2. Secondary outcomes included forced expiratory volume in 1 second (FEV&#x2081;), peak expiratory flow, maximal inspiratory pressure, maximal expiratory pressure, and modified Barthel index. All outcomes were assessed face-to-face by a blinded senior physician, and all analyses followed an intention-to-treat principle.</p></sec><sec sec-type="results"><title>Results</title><p>Of 56 screened patients, 40 were randomized, and 39 completed the study. Adherence to the CMRTP reached 96%, and no serious adverse events occurred; mild, transient events (fatigue, dizziness, and hyperventilation) were recorded. Compared with the control group, the CMRTP group demonstrated greater improvement in forced vital capacity at week 2 (mean difference 0.77 L; 95% CI 0.39&#x2010;1.16; <italic>P</italic>&#x003C;.001; &#x03B7;&#x00B2;=0.32), with additional between-group differences in maximal inspiratory pressure (<italic>P</italic>=.001; &#x03B7;&#x00B2;=.25), maximal expiratory pressure (<italic>P</italic>&#x003C;.001; &#x03B7;&#x00B2;=.08), and modified Barthel index (<italic>P</italic>=.001; &#x03B7;&#x00B2;=.26). No significant group differences were found for forced expiratory volume in 1 second or peak expiratory flow.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>A 2-week hospital-based mobile respiratory training program is feasible and safe in people with acute stroke who are inpatients and yields clinically meaningful improvements in respiratory function and daily functional performance when added to conventional rehabilitation.</p></sec><sec><title>Trial Registration</title><p>Chinese Clinical Trial Registry ChiCTR2400088647; https://www.chictr.org.cn/showprojEN.html?proj=211239</p></sec></abstract><kwd-group><kwd>acute stroke</kwd><kwd>mobile-based</kwd><kwd>respiratory function</kwd><kwd>respiratory muscle training</kwd><kwd>functional capacity</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Stroke is the second-leading cause of death and the third-leading cause of disability worldwide, imposing a substantial burden on society and families [<xref ref-type="bibr" rid="ref1">1</xref>]. Advances in acute stroke management have improved survival rates; however, most survivors experience persistent functional impairments [<xref ref-type="bibr" rid="ref2">2</xref>]. In addition to motor, sensory, swallowing, and speech impairments, stroke frequently induces respiratory dysfunction during the acute stage [<xref ref-type="bibr" rid="ref3">3</xref>]. Recent studies indicate that 18% to 88% of patients with stroke exhibited abnormal breathing patterns [<xref ref-type="bibr" rid="ref4">4</xref>], while 44% to 90% present with respiratory failure syndrome of varying severity [<xref ref-type="bibr" rid="ref5">5</xref>]. Furthermore, 7% to 38% develop pneumonia within the first week after the onset of acute stroke [<xref ref-type="bibr" rid="ref6">6</xref>], underscoring the urgent need for effective interventions to improve respiratory function.</p><p>Clinical guidelines advocate early respiratory monitoring and intervention to mitigate poststroke respiratory complications, emphasizing an integrated care that includes physical and respiratory rehabilitation [<xref ref-type="bibr" rid="ref7">7</xref>]. Previous studies have demonstrated that respiratory muscle training and breathing exercises, such as diaphragmatic, air-stacking, and pursed-lip breathing, can improve respiratory muscle strength, pulmonary function, and functional capacity during early stroke rehabilitation [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. However, the implementation of respiratory interventions in stroke rehabilitation remains limited by multiple clinical constraints, including insufficient staffing and inconsistent service delivery [<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref16">16</xref>]. In many health care settings, rehabilitation services are delayed or underused due to the prioritization of acute medical management, leaving survivors with stroke with inadequate support for respiratory dysfunction [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref19">19</xref>]. In this context, telerehabilitation may represent a promising alternative for delivering timely and accessible respiratory rehabilitation interventions.</p><p>Telerehabilitation has emerged globally as a promising approach to improving access to and continuity of stroke rehabilitation services, attracting widespread attention [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref21">21</xref>]. Chen et al [<xref ref-type="bibr" rid="ref22">22</xref>]&#x202F;reported that telerehabilitation has been widely applied in stroke rehabilitation and provided effects comparable to conventional rehabilitation in improving motor function among survivors with stroke. Linder et al [<xref ref-type="bibr" rid="ref23">23</xref>] demonstrated that mobile-based exercise interventions can effectively enhance quality of life and alleviate depressive symptoms among individuals recovering from stroke. In addition, Sun et al&#x202F; [<xref ref-type="bibr" rid="ref24">24</xref>] found that telerehabilitation can effectively reduce caregiver burden. Moreover, a growing body of evidence from high-income countries supports the feasibility, safety, and effectiveness of telerehabilitation in the postacute and chronic phases of stroke recovery [<xref ref-type="bibr" rid="ref25">25</xref>-<xref ref-type="bibr" rid="ref27">27</xref>]. However, despite these encouraging findings, the application of telerehabilitation during the acute hospitalization phase of stroke remains largely unexplored.</p><p>Therefore, this study aimed to evaluate the effectiveness of a 2-week hospital-based comprehensive mobile-based respiratory training program (CMRTP) on respiratory function in patients with acute stroke, and to explore its safety and feasibility for early inpatient rehabilitation. We hypothesized that integrating CMRTP with conventional rehabilitation would yield greater improvements in respiratory function, without increasing the incidence of adverse events.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Design</title><p>We conducted an assessor-blinded, parallel group, randomized controlled trial at Sichuan Mianyang 404 Hospital (Mianyang, Sichuan, China) from September 2024 to March 2025. This study was prospectively registered with the Chinese Clinical Trial Registry (ChiCTR2400088647). The study adhered to the CONSORT (Consolidated Standards of Reporting Trials) statement guidelines (<xref ref-type="supplementary-material" rid="app2">Checklist 1</xref>) [<xref ref-type="bibr" rid="ref28">28</xref>], and all procedures complied with the Declaration of Helsinki.</p></sec><sec id="s2-2"><title>Participants</title><p>Participants were recruited from the inpatient departments of Rehabilitation Medicine, Neurology, and Neurosurgery through electronic medical records screening. A physician (GQ) screened potential participants based on the eligibility criteria.</p><p>Participants were eligible if they met the following criteria: (1) aged 18&#x2010;75 years; (2) diagnosed with stroke according to the Diagnostic Criteria of Cerebrovascular Diseases [<xref ref-type="bibr" rid="ref29">29</xref>]; (3) first-ever unilateral ischemic stroke confirmed by neuroimaging; (4) stroke onset within 2 weeks; (5) respiratory dysfunction, defined as forced vital capacity (FVC) &#x003C;80% predicted value [<xref ref-type="bibr" rid="ref30">30</xref>]; and (6) either the participants or their caregivers were proficient in reading Chinese characters and in operating a smartphone or tablet.</p><p>Participants were excluded if they met any of the following criteria: (1) cognitive deficits (Mini-Mental Score Examination scores for patients with stroke: illiterate &#x003C;17 points, primary school education &#x003C;20 points, and junior high school education and above &#x003C;24 points) or inability to understand the instructions provided by researchers; (2) having other diseases, surgeries, or injuries that may interfere with respiratory function training (like severe lung infections, tracheostomy intubation, myasthenia gravis, phrenic nerve paralysis, severe facial paralysis, oropharyngeal structural abnormalities, a history of chest or abdominal surgery or rib fractures within the past year); or (3) refuse or withdraw from this research.</p></sec><sec id="s2-3"><title>Randomization and Blinding</title><p>Patients were randomly assigned in a 1:1 ratio to either the experimental group (the CMRTP plus conventional rehabilitation) or control group (conventional rehabilitation only) using a computer-generated randomization sequence (IBM SPSS version 29). Allocation concealment was ensured by a research assistant, who was not involved in sequence generation or participant enrollment, using sequentially numbered, sealed, opaque envelopes. Each envelope was opened only after a participant had been formally enrolled, and the assigned intervention was then revealed. Outcome assessors and data analysts were blinded to group allocation throughout the trial.</p></sec><sec id="s2-4"><title>Intervention</title><sec id="s2-4-1"><title>Overview</title><p>Patients in the experimental group received the CMRTP plus conventional rehabilitation, while the control group received conventional rehabilitation alone, without specific respiratory training. Conventional rehabilitation was administered by two licensed physiotherapists for 40 minutes per session, once daily, 5 days per week, over a 2-week period. The CMRTP was delivered via the AIRHUB platform (a mobile WeChat-based applet, AIRHUB TECH) by two licensed physiotherapists (JY and Z-KM), with 20 minutes per session, twice daily, 5 days per week for 2 weeks.</p></sec><sec id="s2-4-2"><title>The CMRTP Intervention</title><p>The AIRHUB platform is a WeChat Applet&#x2013;based telerehabilitation system consisting of a cloud-based server, a therapist interface (<xref ref-type="fig" rid="figure1">Figure 1</xref>), and a patient interface (<xref ref-type="fig" rid="figure2">Figure 2</xref>). The therapist interface provides access to an exercise video library, remote prescription and monitoring modules, and real-time feedback collection, while the patient interface allows video-guided exercises, automatic performance recording, and submission of postsession feedback. All data are synchronized securely to the cloud, enabling therapists to review adherence and feedback. The platform supports multiuser access and modular expansion, allowing integration with other rehabilitation programs and scalability to multicenter use. To protect privacy, all patient data are encrypted, deidentified, and accessible only to authorized personnel, in accordance with data protection standards aligned with the principles of the HIPAA (Health Insurance Portability and Accountability Act).</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Therapist interface of the AIRHUB platform. (A) Video library and (B) comprehensive mobile-based respiratory training program.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig01.png"/></fig><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Patient interface of the AIRHUB platform (A: exercise plan; B: feedback submission).</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig02.png"/></fig><p>In the experimental group, two licensed physiotherapists (YJ and Z-KM) provided guidance to patients or their caregivers on the proper use of the AIRHUB platform for 2 hours, including the login process, conducting respiratory training, and performing movements correctly as demonstrated in the instructional videos prior to the intervention. After confirming that participants had achieved adequate training proficiency, the physiotherapists guided them to register a personal account on the patient interface using their own mobile phone number. The physiotherapist then logged into the therapist interface, selected the corresponding CMRTP videos from the motion library, and sent them to the individual patient interface.</p><p>The CMRTP consisted of 5 exercises, including breathing exercises and respiratory muscle training (<xref ref-type="fig" rid="figure3">Figure 3</xref>; details are mentioned in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>), each accompanied by audio cues and written instructions. Each exercise was performed 5 times, with a 20-second rest interval between each exercise. After completing all exercises, the entire plan was repeated once. During the intervention, participants accessed the CMRTP via the patient interface, where they followed standardized demonstration videos and audio instructions to perform the exercises synchronously, and the playback speed could be adjusted as needed. Upon completion, the patient provided feedback through a platform-based questionnaire, and the therapist supervises the training remotely via WeChat or mobile video calls as they needed.</p><fig position="float" id="figure3"><label>Figure 3.</label><caption><p>Breathing exercises and respiratory muscle training in AIRHUB. (A) Breathing exercises and (B) respiratory muscle training.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig03.png"/></fig><p>To ensure adherence and track progress, two licensed physiotherapists (YJ and Z-KM) reviewed the training status, such as session duration and questionnaire responses, three times weekly via the AIRHUB platform to evaluate overall completion. When potential issues were identified during monitoring, the responsible physiotherapist would promptly reach out to the participant and offer support. Moreover, the primary nurse provided supervision and reminders to patients and caregivers. If a patient did not engage for three consecutive days, the system automatically triggered a SMS text message reminder. In cases where no training activity was recorded thereafter, the physiotherapist conducted a follow-up telephone call to identify barriers and encourage continued participation.</p></sec></sec><sec id="s2-5"><title>Conventional Rehabilitation</title><p>Conventional rehabilitation [<xref ref-type="bibr" rid="ref8">8</xref>] was provided by 2 licensed physiotherapists (QCW and HHJ), including the following exercises: (1) joint range of motion exercises in bed, (2) maintaining proper limb positioning in bed, (3) turning exercises, (4) positional transfer training, (5) sitting exercises in bed, and (6) standing exercise (if feasible). If necessary, occupational and speech therapy may also be included.</p></sec><sec id="s2-6"><title>Assessments and Outcomes</title><p>All baseline evaluations were independently performed by a research coordinator after participant enrollment. Primary and secondary outcomes were assessed at baseline (T0), week 1 (T1), and week 2 (T2) following randomization. Outcome assessments were completed face-to-face by a senior physician (HHJ).</p></sec><sec id="s2-7"><title>Primary Outcome</title><p>The primary outcome was the change in FVC from baseline to week 2. FVC, defined as the total volume of air exhaled during a maximal forced expiration following a full inspiration, was used to evaluate overall improvements in respiratory function for patients with acute stroke [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]. The minimal clinically important difference for FVC was preset at a 5% predicted increase [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. FVC was measured in liters using standardized spirometry (Breath Home, Home Sun Int.) in accordance with American Thoracic Society and European Respiratory Society standard guidelines [<xref ref-type="bibr" rid="ref35">35</xref>-<xref ref-type="bibr" rid="ref38">38</xref>]. FVC was measured three times per assessment, with the highest value used for analysis.</p></sec><sec id="s2-8"><title>Secondary Outcomes</title><p>The secondary outcomes included forced expiratory volume in 1 second (FEV&#x2081;) and peak expiratory flow (PEF) to assess airflow dynamics [<xref ref-type="bibr" rid="ref39">39</xref>], maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP) to measure respiratory muscle strength [<xref ref-type="bibr" rid="ref40">40</xref>], and the modified Barthel Index (MBI) to evaluate functional performance in daily activities [<xref ref-type="bibr" rid="ref41">41</xref>]. Feasibility (adherence rate) and safety (adverse events) were also examined as secondary endpoints. FEV&#x2081;, PEF, MIP, and MEP were measured using the same spirometry device (Breath Home), and MBI was assessed using a validated scale by the same physician following standardized procedures.</p></sec><sec id="s2-9"><title>Sample Size</title><p>The sample size calculation was conducted via G*power of 3.1.9.7 based on the result of the FVC in a published similar study [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], which indicated an estimated effect size of <italic>f</italic>=0.27. Other parameters were set as follows: a significance level of &#x03B1;=.05 (two tails), power (1&#x2013;&#x03B2;)=95%, correlation among repeated measures=0.5, nonsphericity correction <italic>&#x03B5;</italic>=1, number of measurements=3, and number of groups=2. Therefore, a sample size of n=32 was obtained. After allowing for a 20% attrition, a minimum total of 40 participants was needed.</p></sec><sec id="s2-10"><title>Statistical Analysis</title><p>Baseline assessments included patient characteristics, FVC, FEV&#x2081;, PEF, MIP, MEP, and MBI. All data were analyzed using an intention-to-treat approach, with missing values imputed via the last observation carried forward method.</p><p>Statistical analyses used IBM SPSS version 29 (IBM Corp). The Shapiro-Wilk test assessed data normality, and the Levene test was applied to assess the homogeneity of variances. Continuous variables were reported as mean and SD values, ordinal variables as median with IQR values, and categorical variables as numbers with percentages. Baseline characteristics were compared using <italic>t</italic> tests for normally distributed continuous variables, Mann-Whitney <italic>U</italic> tests for nonnormally distributed or ordinal variables, and chi-square tests for categorical variables. Repeated measures analysis of covariance (ANCOVA) evaluated between-group differences across time points, adjusting for baseline values, with least squares mean differences (least squares [LS] mean differences) estimated to quantify treatment effects. Fixed effects included group, time, and time&#x00D7; group interaction, with participant and National Institutes of Health Stroke Scale (NIHSS) as a random effect. The Mauchly test assessed sphericity, with Greenhouse-Geisser correction applied if violated. Bonferroni correction was applied only to unplanned post hoc pairwise comparisons. The primary outcome was not adjusted for multiple comparisons. For secondary outcomes, Bonferroni correction was applied to control the risk of type I error. Significance was set at <italic>P</italic>&#x003C;.05 (2-tailed) for the primary outcome and &#x03B1;&#x003C;.025 (2-tailed) for others.</p></sec><sec id="s2-11"><title>Ethical Considerations</title><p>The study was approved by the Ethics Committee of Sichuan Mianyang 404 Hospital (ethics reference: 2023&#x2010;051). Written informed consent was obtained from all participants prior to enrollment after they had received a full explanation of the study procedures. All data were anonymized to protect participant privacy and confidentiality. No financial compensation was provided to participants. To ensure participants&#x2019; safety, all potential adverse events were predefined and explicitly described in the informed consent form. Adverse events were monitored by the physiotherapists responsible for the intervention in the experimental group. Potential adverse events associated with tele-respiratory training included fatigue, tiredness, dizziness, headache, falls, worsening neurological function, hyperventilation, hypoventilation, decreased oxygen saturation, hypertension, and tachycardia. If any adverse events occur during the intervention, caregivers or primary nurses would immediately inform the patient&#x2019;s attending physician and take appropriate measures. All adverse events associated with conventional rehabilitation or CMRTP were recorded on the case report form for final analysis.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><p>A total of 56 patients were screened for eligibility, and 40 were enrolled in the study. Of these, 20 were randomly assigned to the intervention group and 20 to the control group (<xref ref-type="fig" rid="figure4">Figure 4</xref>). One participant in the intervention group withdrew during the second week due to hospital discharge. Regarding treatment adherence, participants in the experimental group completed 192 of the 200 prescribed training sessions (96%), whereas those in the control group completed all 100 assigned sessions (100%). Outcome data for analysis were available for 100% (N=40) of participants at T1 and 97.5% (39/40) at T2. Nonserious adverse events considered reasonably or definitely related to study procedures were recorded in 10 sessions in the experimental group (including fatigue, dizziness, and hyperventilation) and in 3 sessions in the control group (including fatigue and tiredness). All events were transient and mild, and no serious adverse events occurred in either group.</p><fig position="float" id="figure4"><label>Figure 4.</label><caption><p>The CONSORT (Consolidated Standards of Reporting Trials) flow diagram of the trial. CR: conventional rehabilitation; CMRTP: comprehensive mobile-based respiratory training program.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig04.png"/></fig><p>The baseline clinical characteristics of the patients, shown in <xref ref-type="table" rid="table1">Table 1</xref>, were generally comparable between the experimental and control groups. All included patients had moderate stroke with notable functional impairments affecting daily activities. The mean (SD) age was 62.5 (SD 10.57) years. The experimental group exhibited slightly greater stroke severity than the control group (mean NIHSS score 7.30, SD 1.75 vs 5.75, SD 1.97; <italic>P=</italic>.01), while other clinical features were comparable between groups.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Clinical characteristics of the patients at baseline.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics</td><td align="left" valign="bottom">Intervention (n=20)</td><td align="left" valign="bottom">Control (n=20)</td><td align="left" valign="bottom">Test statistic</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top" colspan="3">Gender, n (%)</td><td align="left" valign="top">0.45 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">.50</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Male</td><td align="left" valign="top">15 (75)</td><td align="left" valign="top">12 (60)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Female</td><td align="left" valign="top">5 (25)</td><td align="left" valign="top">8 (40)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top">Age (years), mean (SD)</td><td align="left" valign="top">59.80 (11.31)</td><td align="left" valign="top">65.20 (9.83)</td><td align="left" valign="top">1.61 (37.29)<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">Course of disease (day), mean (SD)</td><td align="left" valign="top">6.00 (2.17)</td><td align="left" valign="top">6.20 (2.31)</td><td align="left" valign="top">0.28 (37.87)<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td><td align="left" valign="top">.78</td></tr><tr><td align="left" valign="top">BMI<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup> (kg/m<sup>2</sup>), mean (SD)</td><td align="left" valign="top">25.25 (2.57)</td><td align="left" valign="top">24.48 (3.45)</td><td align="left" valign="top">0.80 (35.12)<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td><td align="left" valign="top">.43</td></tr><tr><td align="left" valign="top">NIHSS<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup><sup>,</sup><sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup></td><td align="left" valign="top">7.30 (1.75)</td><td align="left" valign="top">5.75 (1.97)</td><td align="left" valign="top">2.63 (37.48)<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td><td align="left" valign="top">.01</td></tr><tr><td align="left" valign="top">MMSE<sup><xref ref-type="table-fn" rid="table1fn6">f</xref></sup></td><td align="left" valign="top">25.35 (1.89)</td><td align="left" valign="top">25.05 (1.79)</td><td align="left" valign="top">0.56 (37.79)<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td><td align="left" valign="top">.58</td></tr><tr><td align="left" valign="top" colspan="3">Stroke type, n (%)</td><td align="left" valign="top">0.27 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">.59</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Ischemic stroke</td><td align="left" valign="top">19 (95)</td><td align="left" valign="top">17 (85)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hemorrhagic stroke</td><td align="left" valign="top">1 (5)</td><td align="left" valign="top">3 (15)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top" colspan="3">Affected side, n (%)</td><td align="left" valign="top">0.00 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">&#x003E;.99</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Left</td><td align="left" valign="top">13 (65)</td><td align="left" valign="top">13 (65)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Right</td><td align="left" valign="top">7 (35)</td><td align="left" valign="top">7 (35)</td><td align="left" valign="top">&#x2003;</td><td align="left" valign="top">&#x2003;</td></tr><tr><td align="left" valign="top" colspan="5">Coexisting conditions, n (%)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Hypertension</td><td align="left" valign="top">14 (70)</td><td align="left" valign="top">15 (75)</td><td align="left" valign="top">0.00 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">&#x003E;.99</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Diabetes mellitus</td><td align="left" valign="top">5 (25)</td><td align="left" valign="top">9 (45)</td><td align="left" valign="top">0.98 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">.32</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pulmonary infection</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">1 (5)</td><td align="left" valign="top">0.00 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">&#x003E;.99</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>COPD<sup><xref ref-type="table-fn" rid="table1fn7">g</xref></sup></td><td align="left" valign="top">2 (10)</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">0.52 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">.46</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Smoking</td><td align="left" valign="top">0 (0)</td><td align="left" valign="top">1 (5)</td><td align="left" valign="top">0.10 (1.00)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="top">.75</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>Chi-square (df).</p></fn><fn id="table1fn2"><p><sup>b</sup><italic>t</italic> test (df).</p></fn><fn id="table1fn3"><p><sup>c</sup>The BMI is the weight in kilograms divided by the square of the height in meters.</p></fn><fn id="table1fn4"><p><sup>d</sup>Independent-samples <italic>t</italic> tests (<italic>P</italic>&#x003C;.05).</p></fn><fn id="table1fn5"><p><sup>e</sup>NIHSS: National Institutes of Health Stroke Scale.</p></fn><fn id="table1fn6"><p><sup>f</sup>MMSE: Mini-Mental State Examination.</p></fn><fn id="table1fn7"><p><sup>g</sup>COPD: chronic obstructive pulmonary disease.</p></fn></table-wrap-foot></table-wrap><p>For the primary outcome, the analysis of FVC revealed significant main effects in both the time (<italic>F</italic><sub>1,37</sub>=41.12; &#x03B7;&#x00B2;=0.52; <italic>P</italic>&#x003C;.001) and time&#x00D7;group interaction effect (<italic>F</italic><sub>1,37</sub>=4.50; &#x03B7;&#x00B2;=0.12; <italic>P</italic>=.008), without group effect (<italic>F</italic><sub>1,37</sub>=4.05; &#x03B7;&#x00B2;=0.10; <italic>P</italic>=.05; <xref ref-type="table" rid="table2">Table 2</xref>). The FVC at week 2 increased by 1.12 L (95% CI 0.43&#x2010;1.81) in the experimental group and 0.58 L (95% CI 0.02&#x2010;1.14) in the control group, a significant difference was observed between the groups at week 2 (LS mean 0.77, 95% CI 0.39&#x2010;1.16; &#x03B7;&#x00B2;=0.32; <italic>P</italic>&#x003C;.001; <xref ref-type="fig" rid="figure5">Figure 5</xref>). The improvements of both groups exceeded the minimal clinically important difference (5%), but the experimental group showed a greater improvement (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Summary of main effects and interaction effects from repeated measures analysis of covariance.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Outcome</td><td align="left" valign="bottom"><italic>Group</italic><break/><italic>effect, F</italic> test <italic>(df)</italic></td><td align="left" valign="bottom"><italic>P</italic> value (Group)</td><td align="left" valign="bottom">&#x03B7;<sup>2</sup> (Group)</td><td align="left" valign="bottom">Time effect, <italic>F test</italic> (<italic>df</italic>)</td><td align="left" valign="bottom"><italic>P</italic> value<break/>(Time)</td><td align="left" valign="bottom">&#x03B7;<sup>2</sup> (Time)</td><td align="left" valign="bottom">Group&#x00D7;time interaction, <italic>F</italic> test (<italic>df</italic>)</td><td align="left" valign="bottom"><italic>P</italic> value (Interaction)</td><td align="left" valign="bottom">&#x03B7;<sup>2</sup> (Interaction)</td></tr></thead><tbody><tr><td align="left" valign="top">FVC<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> (L)</td><td align="left" valign="top">4.05 (1,37)</td><td align="left" valign="top">.05</td><td align="char" char="." valign="top">0.10</td><td align="left" valign="top">41.12 (1,37)</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="char" char="." valign="top">0.52</td><td align="left" valign="top">&#x2003;4.50 (1,37)</td><td align="left" valign="top">.008<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.12</td></tr><tr><td align="left" valign="top">FEV&#x2081;<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup> (L)</td><td align="left" valign="top">2.21 (1,37)</td><td align="left" valign="top">.15</td><td align="char" char="." valign="top">0.06</td><td align="left" valign="top">6.86 (0.83,30.71)</td><td align="left" valign="top">.004<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.16</td><td align="left" valign="top">&#x2003;1.25 (0.83,30.71)</td><td align="left" valign="top">.29</td><td align="char" char="." valign="top">0.03</td></tr><tr><td align="left" valign="top">PEF<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup> (L/s)</td><td align="left" valign="top">1.89 (1,37)</td><td align="left" valign="top">.18</td><td align="char" char="." valign="top">0.05</td><td align="left" valign="top">1.37 (0.83,30.71)</td><td align="left" valign="top">.008<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.14</td><td align="left" valign="top">&#x2003;1.66 (0.83,30.71)</td><td align="left" valign="top">.20</td><td align="char" char="." valign="top">0.04</td></tr><tr><td align="left" valign="top">MIP<sup><xref ref-type="table-fn" rid="table2fn6">f</xref></sup> (cmH&#x2082;O)</td><td align="left" valign="top">14.49 (1,37)</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="char" char="." valign="top">0.28</td><td align="left" valign="top">7.66 (1,37)</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="char" char="." valign="top">0.17</td><td align="left" valign="top">&#x2003;7.28 (1,37)</td><td align="left" valign="top">.001<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.16</td></tr><tr><td align="left" valign="top">MEP<sup><xref ref-type="table-fn" rid="table2fn7">g</xref></sup> (cmH&#x2082;O)</td><td align="left" valign="top">10.54 (1,37)</td><td align="left" valign="top">.002<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.20</td><td align="left" valign="top">1.37 (0.83,30.71)</td><td align="left" valign="top">.26</td><td align="char" char="." valign="top">0.04</td><td align="left" valign="top">&#x2003;4.62 (0.83,30.71)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table2fn8">h</xref></sup></td><td align="char" char="." valign="top">0.11</td></tr><tr><td align="left" valign="top">MBI<sup><xref ref-type="table-fn" rid="table2fn9">i</xref></sup> (score)</td><td align="left" valign="top">7.56 (1,37)</td><td align="left" valign="top">.009<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="char" char="." valign="top">0.17</td><td align="left" valign="top">10.07 (1,37)</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="char" char="." valign="top">0.21</td><td align="left" valign="top">&#x2003;3.35 (1,37)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table2fn8">h</xref></sup></td><td align="char" char="." valign="top">0.08</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>FVC: forced vital capacity.</p></fn><fn id="table2fn2"><p><sup>b</sup><italic>P</italic>&#x003C;.001.</p></fn><fn id="table2fn3"><p><sup>c</sup><italic>P</italic>&#x003C;.01.</p></fn><fn id="table2fn4"><p><sup>d</sup>FEV&#x2081;: forced expiratory volume in 1 second.</p></fn><fn id="table2fn5"><p><sup>e</sup>PEF: peak expiratory flow.</p></fn><fn id="table2fn6"><p><sup>f</sup>MIP: maximal inspiratory pressure.</p></fn><fn id="table2fn7"><p><sup>g</sup>MEP: maximal expiratory pressure.</p></fn><fn id="table2fn8"><p><sup>h</sup><italic>P</italic>&#x003C;.05.</p></fn><fn id="table2fn9"><p><sup>i</sup>MBI: modified Barthel index.</p></fn></table-wrap-foot></table-wrap><fig position="float" id="figure5"><label>Figure 5.</label><caption><p>Between-group temporal changes in forced vital capacity. Mean (&#x00B1; SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). The experimental group exhibited greater improvement than the control group at T2 (***<italic>P</italic>&#x003C;.001). FVC: forced vital capacity.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig05.png"/></fig><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Analysis of the effect of time and group on the primary and secondary outcomes.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Test and groups</td><td align="left" valign="bottom">T0<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="bottom">T1<sup><xref ref-type="table-fn" rid="table3fn1">b,c</xref></sup></td><td align="left" valign="bottom">T2<sup><xref ref-type="table-fn" rid="table3fn1">b,d</xref></sup></td><td align="left" valign="bottom">&#x0394;T1<sup><xref ref-type="table-fn" rid="table3fn5">e</xref></sup></td><td align="left" valign="bottom">&#x0394;T2<sup><xref ref-type="table-fn" rid="table3fn6">f</xref></sup></td><td align="left" valign="bottom"><italic>F</italic></td><td align="left" valign="bottom"><italic>P</italic> value</td><td align="left" valign="bottom">&#x03B7;<sup>2<xref ref-type="table-fn" rid="table3fn7">g</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top" colspan="9">FVC<sup><xref ref-type="table-fn" rid="table3fn8">h</xref></sup> (L)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">2.21 (0.80)</td><td align="char" char="." valign="top">2.66 (0.77)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">3.36 (0.69)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">0.45 (0.27)</td><td align="char" char="." valign="top">1.12 (0.69)</td><td align="char" char="." valign="top">38.31</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.67</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">1.89 (0.94)</td><td align="char" char="." valign="top">2.30 (1.14)</td><td align="char" char="." valign="top">2.47 (0.82)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">0.41 (0.73)</td><td align="char" char="." valign="top">0.58 (0.56)</td><td align="char" char="." valign="top">9.59</td><td align="char" char="." valign="top">.001<sup><xref ref-type="table-fn" rid="table3fn11">k</xref></sup></td><td align="char" char="." valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>0.34</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS<sup><xref ref-type="table-fn" rid="table3fn12">l</xref></sup> means (95% CI)</td><td align="left" valign="top">0.32 (&#x2013;0.24 to 0.88)</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table3fn13">m</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.05 (&#x2013;0.36 to 0.46)</td><td align="char" char="." valign="top">0.77 (0.39&#x2010;1.16)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">1.15 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.27 (24.03)</td><td align="char" char="." valign="top">4.08 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup><xref ref-type="table-fn" rid="table3fn14">n</xref></sup></td><td align="left" valign="top">0.26</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.79</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.03</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.002</td><td align="char" char="." valign="top">0.32</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top" colspan="9">FEV&#x2081;<sup><xref ref-type="table-fn" rid="table3fn15">o</xref></sup> (L)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">1.41 (0.55)</td><td align="char" char="." valign="top">1.77 (0.81)</td><td align="char" char="." valign="top">2.44 (0.87)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">0.36 (0.71)</td><td align="char" char="." valign="top">1.41 (0.55)</td><td align="char" char="." valign="top">21.48</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.53</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">1.38 (0.71)</td><td align="char" char="." valign="top">1.35 (0.72)</td><td align="char" char="." valign="top">2.04 (0.74)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">&#x2013;0.03 (0.88)</td><td align="char" char="." valign="top">0.66 (0.69)</td><td align="char" char="." valign="top">10.74</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.36</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS means (95% CI)</td><td align="left" valign="top">0.10 (&#x2013;0.35 to 0.55)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.28 (&#x2013;0.28 to 0.84)</td><td align="char" char="." valign="top">0.36 (&#x2013;0.15 to 0.88)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">0.45(38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">1(38)</td><td align="char" char="." valign="top">1.44(38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup><xref ref-type="table-fn" rid="table3fn14">n</xref></sup></td><td align="left" valign="top">0.65</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.33</td><td align="char" char="." valign="top">0.16</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.006</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.03</td><td align="char" char="." valign="top">0.05</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top" colspan="9">PEF<sup><xref ref-type="table-fn" rid="table3fn16">p</xref></sup> (L/s)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">2.40 (1.08)</td><td align="char" char="." valign="top">2.81 (0.95)</td><td align="char" char="." valign="top">3.71 (1.20)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">0.42 (0.84)</td><td align="char" char="." valign="top">1.23 (1.18)</td><td align="char" char="." valign="top">19.09</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.5</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">2.34 (1.32)</td><td align="char" char="." valign="top">2.50 (1.19)</td><td align="char" char="." valign="top">2.93 (0.99)</td><td align="char" char="." valign="top">0.16 (1.29)</td><td align="char" char="." valign="top">0.59 (1.14)</td><td align="char" char="." valign="top">2.99</td><td align="char" char="." valign="top">0.07</td><td align="char" char="." valign="top">0.14</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS means (95% CI)</td><td align="left" valign="top">0.20 (&#x2013;0.65 to 1.05)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.27 (&#x2013;0.37 to 0.92)</td><td align="char" char="." valign="top">0.73 (0.04&#x2010;1.42)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">0.48 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.85 (38)</td><td align="char" char="." valign="top">2.14 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup><xref ref-type="table-fn" rid="table3fn14">n</xref></sup></td><td align="left" valign="top">0.64</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.4</td><td align="char" char="." valign="top">0.04</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.006</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.11</td><td align="char" char="." valign="top">0.11</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top" colspan="9">MIP<sup><xref ref-type="table-fn" rid="table3fn17">q</xref></sup> (cmH&#x2082;O)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">34.45 (15.64)</td><td align="char" char="." valign="top">45.62 (15.93)<sup>i</sup></td><td align="char" char="." valign="top">51.84 (15.06)<sup>i</sup></td><td align="char" char="." valign="top">11.17 (7.10)</td><td align="char" char="." valign="top">16.55 (10.43)</td><td align="char" char="." valign="top">41.48</td><td align="left" valign="top">&#xFF1C;.001<sup>j</sup></td><td align="char" char="." valign="top">0.69</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">26.50 (11.82)</td><td align="char" char="." valign="top">29.40 (17.42)</td><td align="char" char="." valign="top">35.01 (14.52)<sup>i</sup></td><td align="char" char="." valign="top">2.90 (10.71)</td><td align="char" char="." valign="top">8.51 (7.64)</td><td align="char" char="." valign="top">8.5</td><td align="left" valign="top">&#xFF1C;.001<sup>j</sup></td><td align="char" char="." valign="top">0.31</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS means (95% CI)</td><td align="left" valign="top">11.16 (1.75&#x2010;20.56)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">10.83 (4.12&#x2010;17.54)</td><td align="char" char="." valign="top">11.38 (4.69&#x2010;18.08)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">2.4 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">3.27 (38)</td><td align="char" char="." valign="top">3.45 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup><xref ref-type="table-fn" rid="table3fn14">n</xref></sup></td><td align="left" valign="top">0.08</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">.002</td><td align="char" char="." valign="top">.001**<sup><xref ref-type="table-fn" rid="table3fn11">k</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.07</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.23</td><td align="char" char="." valign="top">0.25</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top" colspan="9">MEP<sup><xref ref-type="table-fn" rid="table3fn18">r</xref></sup> (cmH&#x2082;O)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">37.34 (18.98)</td><td align="char" char="." valign="top">47.85 (24.00)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">56.28 (20.15)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">10.51 (13.99)</td><td align="char" char="." valign="top">17.83 (12.24)</td><td align="char" char="." valign="top">21.95</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.53</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">32.94 (20.26)</td><td align="char" char="." valign="top">35.29 (25.65)</td><td align="char" char="." valign="top">36.25 (16.01)</td><td align="char" char="." valign="top">2.36 (20.46)</td><td align="char" char="." valign="top">3.32 (11.24)</td><td align="char" char="." valign="top">0.48</td><td align="char" char="." valign="top">0.55</td><td align="char" char="." valign="top">0.03</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS means (95% CI)</td><td align="left" valign="top">11.49 (&#x2013;1 to 23.98)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">11.68 (&#x2013;1.18 to 24.54)</td><td align="char" char="." valign="top">17.85 (9.92&#x2010;25.77)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">1.86 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">1.84 (38)</td><td align="char" char="." valign="top">4.57 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup>c</sup></td><td align="left" valign="top">0.07</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.07</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.09</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.09</td><td align="char" char="." valign="top">0.08</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top" colspan="9">MBI<sup><xref ref-type="table-fn" rid="table3fn19">s</xref></sup> (score)</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experimental group (n=20), mean (SD)</td><td align="left" valign="top">38.25 (13.47)</td><td align="char" char="." valign="top">53.40 (12.43)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">65.15 (10.47)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">15.15 (8.75)</td><td align="char" char="." valign="top">26.25 (8.58)</td><td align="char" char="." valign="top">90.42</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.83</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Control group (n=20), mean (SD)</td><td align="left" valign="top">37.35 (10.23)</td><td align="char" char="." valign="top">48.90 (12.83)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">55.85 (11.25)<sup><xref ref-type="table-fn" rid="table3fn9">i</xref></sup></td><td align="char" char="." valign="top">11.55 (7.47)</td><td align="char" char="." valign="top">18.50 (8.02)</td><td align="char" char="." valign="top">18</td><td align="left" valign="top">&#xFF1C;.001<sup><xref ref-type="table-fn" rid="table3fn10">j</xref></sup></td><td align="char" char="." valign="top">0.85</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>LS means (95% CI)</td><td align="left" valign="top">5.18 (&#x2013;2.44 to 12.80)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">5.77 (0.20&#x2010;11.34)</td><td align="char" char="." valign="top">9.22 (3.90&#x2010;14.53)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>t (df)</italic></td><td align="left" valign="top">1.38 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">2.1 (38)</td><td align="char" char="." valign="top">3.52 (38)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content><italic>P</italic><sup><xref ref-type="table-fn" rid="table3fn14">n</xref></sup></td><td align="left" valign="top">0.18</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.04</td><td align="char" char="." valign="top">.001<sup><xref ref-type="table-fn" rid="table3fn11">k</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>&#x03B7;<sup>2</sup></td><td align="left" valign="top">0.05</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="char" char="." valign="top">0.11</td><td align="char" char="." valign="top">0.26</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>T0: baseline.</p></fn><fn id="table3fn2"><p><sup>b</sup>Within-group comparison in each group with repeated measures analysis of covariance: compare to T0.</p></fn><fn id="table3fn3"><p><sup>c</sup>1T1: week 1.</p></fn><fn id="table3fn4"><p><sup>d</sup>T2: week 2.</p></fn><fn id="table3fn5"><p><sup>e</sup>&#x0394;T1: the change from T0 to T1.</p></fn><fn id="table3fn6"><p><sup>f</sup>&#x0394;T2: the change from T0 to T2.</p></fn><fn id="table3fn7"><p><sup>g</sup>&#x03B7;<sup>2</sup>: partial eta squared.</p></fn><fn id="table3fn8"><p><sup>h</sup>FVC: forced vital capacity.</p></fn><fn id="table3fn9"><p><sup>i</sup>*<italic>P</italic>&#x003C;.05.</p></fn><fn id="table3fn10"><p><sup>j</sup>***<italic>P</italic>&#x003C;.001.</p></fn><fn id="table3fn11"><p><sup>k</sup>**<italic>P</italic> &#x003C; .025.</p></fn><fn id="table3fn12"><p><sup>l</sup>LS: least squares.</p></fn><fn id="table3fn13"><p><sup>m</sup>Not applicable.</p></fn><fn id="table3fn14"><p><sup>n</sup>Comparison between-group difference in change with repeated measures analysis of covariance.</p></fn><fn id="table3fn15"><p><sup>o</sup>FEV&#x2081;: forced expiratory volume in 1 second.</p></fn><fn id="table3fn16"><p><sup>p</sup>PEF: peak expiratory flow.</p></fn><fn id="table3fn17"><p><sup>q</sup>MIP: maximal inspiratory pressure.</p></fn><fn id="table3fn18"><p><sup>r</sup>MEP: maximal expiratory pressure.</p></fn><fn id="table3fn19"><p><sup>s</sup>MBI: modified Barthel index.</p></fn></table-wrap-foot></table-wrap><p>As for secondary outcome in <xref ref-type="table" rid="table2">Tables 2 and 3</xref>, there was no significant main effect of group for FEV&#x2081; (<italic>F</italic><sub>1,37</sub>=2.21; &#x03B7;&#x00B2;=0.06; <italic>P</italic>=.15), PEF (<italic>F</italic><sub>1,37</sub>=1.89; &#x03B7;&#x00B2;=0.05; <italic>P</italic>=.18), whereas MIP (<italic>F</italic><sub>1,37</sub>=14.49; &#x03B7;&#x00B2;=0.28; <italic>P</italic>&#x003C;.001), MEP (<italic>F</italic><sub>1,</sub><sub>37</sub>=10.54; &#x03B7;&#x00B2;=0.20; <italic>P</italic>=.002), and MBI (<italic>F</italic><sub>1,37</sub>=7.56; &#x03B7;&#x00B2;=.17; <italic>P</italic>=.009) reached statistical significance. The main effect of time for FEV&#x2081; (<italic>F</italic><sub>0.83,</sub><sub>30.71</sub>=6.86; &#x03B7;&#x00B2;=0.16; <italic>P</italic>=.004), PEF (<italic>F</italic><sub>0.83,</sub><sub>30.71</sub>=1.37; &#x03B7;&#x00B2;=0.14; <italic>P</italic>=.008), MIP (<italic>F</italic><sub>1,37</sub>=7.66; &#x03B7;&#x00B2;=0.17; <italic>P</italic>&#x003C;.001), and MBI (<italic>F<sub>1,37</sub></italic>=10.07; &#x03B7;&#x00B2;=0.21; <italic>P</italic>&#x003C;.001) showed significant differences, but not on MEP (<italic>F</italic><sub>0.76,</sub><sub>28.12</sub>=1.37; &#x03B7;&#x00B2;=0.04; <italic>P</italic>=.26) at weeks 1 and 2. Significant group&#x00D7;time interactions were found for MIP (<italic>F</italic><sub>1,37</sub>=7.28; &#x03B7;&#x00B2;=0.16; <italic>P</italic>=.001), MEP (<italic>F</italic><sub>0.76,28.12</sub>=4.62; &#x03B7;&#x00B2;=0.11; <italic>P</italic>=.02), and MBI (<italic>F</italic><sub>1,37</sub>=3.35; &#x03B7;&#x00B2;=0.08; <italic>P</italic>=.04), but not for FEV&#x2081; (<italic>F</italic><sub>0.83,</sub><sub>30.71</sub>=1.25; &#x03B7;&#x00B2;=.00; <italic>P</italic>=0.29) and PEF (<italic>F</italic><sub>0.83,</sub><sub>30.71</sub>=1.66; &#x03B7;&#x00B2;=0.04; <italic>P</italic>=.20). Compared with baseline, the experimental group exhibited significant increases in FEV&#x2081; (<italic>F</italic><sub>1.66,</sub><sub>31.54</sub>=21.48; &#x03B7;&#x00B2;=0.53; <italic>P</italic>&#x003C;.001), PEF (<italic>F</italic><sub>1.66,</sub><sub>31.54</sub>=19.09; &#x03B7;&#x00B2;=0.50; <italic>P</italic>&#x003C;.001), MIP (<italic>F</italic><sub>2,</sub><sub>38</sub>=41.48; &#x03B7;&#x00B2;=0.69; <italic>P</italic>&#x003C;.001), MEP (<italic>F</italic><sub>1.52,</sub><sub>28.88</sub>=21.59; &#x03B7;&#x00B2;=0.53; <italic>P</italic>&#x003C;.001), and MBI (<italic>F</italic><sub>2,</sub><sub>38</sub>=90.42; &#x03B7;&#x00B2;=0.83; <italic>P</italic>&#x003C;.001), whereas the control group showed significant increases in FEV&#x2081; (<italic>F</italic><sub>1.66,</sub><sub>31.54</sub>=10.74; &#x03B7;&#x00B2;=0.36; <italic>P</italic>&#x003C;.001), MIP (<italic>F<sub>2</sub></italic><sub>,</sub><sub>38</sub>=8.50; &#x03B7;&#x00B2;=0.31; <italic>P</italic>&#x003C;.001) and MBI (<italic>F</italic><sub>2,</sub><sub>38</sub>=90.42; &#x03B7;&#x00B2;=0.85; <italic>P</italic>&#x003C;.001), but not in PEF (<italic>F</italic><sub>1.66,</sub><sub>31.54</sub>=2.99, &#x03B7;&#x00B2;=0.14; <italic>P</italic>=.07) and MEP (<italic>F</italic><sub>1.52,</sub><sub>28.88</sub>=0.48; &#x03B7;&#x00B2;=0.03; <italic>P</italic>=.55). Compared with the control group, the experimental group had no baseline differences (<italic>P</italic>&#x003E;.05 for FEV&#x2081;, PEF, MIP, MEP, and MBI), and showed significant improvements at week 2 in MIP (LS mean 11.38, 95% CI 4.69&#x2010;18.08; &#x03B7;&#x00B2;=0.25; <italic>P</italic>=.001), MEP (LS mean 17.85, 95% CI 9.92&#x2010;25.77; &#x03B7;&#x00B2;=0.08; <italic>P</italic>&#x003C;.001), and MBI (LS mean 9.92, 95% CI 3.90&#x2010;14.53; &#x03B7;&#x00B2;=0.26; <italic>P</italic>=.001; <xref ref-type="fig" rid="figure6">Figures 6</xref> and <xref ref-type="fig" rid="figure7">7</xref>), as well as in MIP at week 1 (LS mean 10.83, 95% CI 4.12&#x2010;17.54; &#x03B7;&#x00B2;=0.23; <italic>P</italic>=.002). No difference was found between the groups in the FEV&#x2081; and PEF at any assessment time point, which may be due to the short intervention duration and the limited sensitivity of these measures to detect subtle respiratory changes.</p><fig position="float" id="figure6"><label>Figure 6.</label><caption><p>Between-group temporal changes in forced expiratory volume in 1 s, peak expiratory flow, maximal inspiratory pressure, and maximal expiratory pressure. (A) Mean (SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). No significant between-group differences were observed in forced expiratory volume in 1 s across all time points. (B) Mean (SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). No significant between-group differences were observed in peak expiratory flow across all time points. (C) Mean (SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). The experimental group exhibited greater improvement than the control group for maximal inspiratory pressure at T1 (**<italic>P=.002</italic>) and T2 (**<italic>P</italic>=.001). D: Mean (SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). The experimental group exhibited greater improvement than the control group for maximal expiratory pressure at T2 (***<italic>P</italic>&#x003C;.001). FEV1: forced expiratory volume in 1 second; PEF: peak expiratory flow; MIP: maximal inspiratory pressure; MEP: maximal expiratory pressure.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig06.png"/></fig><fig position="float" id="figure7"><label>Figure 7.</label><caption><p>Between-group temporal changes in modified Barthel index. Mean (SD) values are shown at baseline (T0), week 1 (T1), and week 2 (T2). The experimental group exhibited greater improvement than the control group at T2 (**<italic>P=</italic>.001). MBI: modified Barthel index.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v14i1e78637_fig07.png"/></fig></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>This randomized controlled trial demonstrated that a 2-week, hospital-based CMRTP combined with conventional rehabilitation significantly improved respiratory function and daily functional performance compared with conventional rehabilitation alone in patients with moderate acute stroke. Importantly, no serious adverse events were reported, and the mobile-based platform (AIRHUB) was feasible for implementation in inpatient acute stroke care. To our knowledge, this was the first study to establish the efficacy of a mobile-based respiratory program as a safe and effective adjunct to standard care during the acute phase of stroke.</p><p>Compared with prior studies [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref44">44</xref>], the experimental group demonstrated comparable improvements in respiratory function, respiratory muscle strength, and daily activities in patients with acute stroke. Choi et al [<xref ref-type="bibr" rid="ref8">8</xref>] reported that a 4-week comprehensive respiratory muscle training program, incorporating air-stacking and respiratory muscle strengthening, led to significant improvements in FVC and MEP in patients with acute stroke. Similarly, Yoo et al [<xref ref-type="bibr" rid="ref43">43</xref>] found that delivering the same protocol at the bedside over three weeks resulted in increases in FVC, FEV&#x2081;, and MBI. In another study, Wei et al [<xref ref-type="bibr" rid="ref44">44</xref>] found that a 12-week intervention combining respiratory muscle training, pursed-lip breathing, and diaphragmatic breathing improved FVC, FEV&#x2081;, respiratory muscle strength, and MBI in patients with stroke.</p><p>FVC, as a comprehensive indicator of ventilatory capacity, was particularly sensitive to changes in respiratory muscle performance [<xref ref-type="bibr" rid="ref43">43</xref>]. Given the prevalence and clinical relevance of respiratory dysfunction in acute stroke, FVC provided an objective and meaningful measure to evaluate the efficacy of respiratory interventions [<xref ref-type="bibr" rid="ref45">45</xref>]. In this study, both groups showed improvements in FVC after 2 weeks of intervention, but the experimental group achieved greater gains. These intergroup differences were unlikely to be attributed to spontaneous recovery alone but were more plausibly linked to the structured and synergistic design of the CMRTP, encompassing both muscular and neurological mechanisms.</p><p>The observed improvements in respiratory function likely resulted from multilevel adaptations involving both central neural remodeling and peripheral muscular strengthening. The acute poststroke phase represented a critical window of heightened neuroplasticity [<xref ref-type="bibr" rid="ref46">46</xref>], during which axonal sprouting and synaptic reorganization occur at an accelerated rate [<xref ref-type="bibr" rid="ref47">47</xref>]. Previous studies showed that exercise can facilitate long-term potentiation&#x2013;like synaptic plasticity, enhancing functions such as memory and fine motor skills [<xref ref-type="bibr" rid="ref48">48</xref>,<xref ref-type="bibr" rid="ref49">49</xref>]. Structured and repetitive respiratory exercises&#x2014;such as diaphragmatic breathing, pursed-lip breathing, and air-stacking&#x2014;might elicit similar effects by providing continuous sensory and proprioceptive input to cortical and brainstem respiratory centers, reinforcing sensorimotor pathways and supporting circuit-level functional recovery [<xref ref-type="bibr" rid="ref50">50</xref>]. In addition to synaptic mechanisms, respiratory training might promote neuroplasticity at the molecular level. Exercise was shown to upregulate the expression of mature brain-derived neurotrophic factor, a key modulator of synaptic strength and corticospinal connectivity [<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref52">52</xref>]. These effects might enhance the cortical drive to spinal respiratory motor neurons, facilitating compensatory activation and improving voluntary control over respiratory muscles [<xref ref-type="bibr" rid="ref53">53</xref>-<xref ref-type="bibr" rid="ref55">55</xref>].</p><p>Peripherally, the CMRTP targeted both inspiratory and expiratory muscle groups through focused protocols. Inspiratory exercises and air-stacking primarily strengthened the diaphragm and intercostal muscles [<xref ref-type="bibr" rid="ref56">56</xref>], whereas pursed-lip and expiratory resistance breathing enhanced the performance of abdominal and accessory expiratory muscles [<xref ref-type="bibr" rid="ref57">57</xref>-<xref ref-type="bibr" rid="ref59">59</xref>]. These interventions likely contributed to the significant improvements in MIP and MEP observed in the intervention group. Repeated mechanical loading and neuromuscular activation might have enhanced motor unit recruitment, firing efficiency, and muscle coordination within the respiratory system [<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. Together, these central and peripheral adaptations improved respiratory mechanics and endurance, which might have translated into better exercise tolerance and reduced dyspnea. As a result, participants could engage more effectively in physical rehabilitation and daily activities, reflected in the observed improvements in MBI scores.</p><p>Despite these positive findings, no significant between-group differences were observed in FEV&#x2081; and PEF. These indices primarily reflect airway patency and expiratory flow dynamics, which are less responsive to short-term interventions and more sensitive to chronic airway function and expiratory control [<xref ref-type="bibr" rid="ref62">62</xref>]. The 2-week duration of training may have been insufficient to elicit detectable changes in these parameters. Moreover, poststroke impairment in airway coordination&#x2014;such as reduced glottic control or weakened expiratory reflexes&#x2014;may further limit responsiveness to early-phase interventions [<xref ref-type="bibr" rid="ref63">63</xref>,<xref ref-type="bibr" rid="ref64">64</xref>]. Longer or more targeted expiratory-focused protocols may be needed to achieve improvements in these measures.</p><p>Compared with other motor telerehabilitation studies, our findings highlight the value of a simplified, focused intervention suitable for patients with acute stroke. Previous programs targeting upper limb [<xref ref-type="bibr" rid="ref65">65</xref>], spinal stability [<xref ref-type="bibr" rid="ref66">66</xref>], or core function [<xref ref-type="bibr" rid="ref67">67</xref>] have shown functional gains, but often required long durations (8&#x2010;12 wk), complex protocols, or real-time supervision, which may limit adherence or scalability. Some participants in these studies reported training fatigue, reduced engagement, or low compliance [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]. In contrast, our 2-week respiratory protocol achieved a high adherence rate (96%) with minimal supervision, supported by an app-based system that provided clear instructions and immediate feedback. Rather than using videoconferencing or immersive visual reality [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref68">68</xref>], which required constant therapist involvement, our approach relied on routine caregiver support, enhancing feasibility in clinical settings. By focusing on a single, targeted domain&#x2014;respiratory recovery&#x2014;our program provided a practical and scalable model for early-phase telerehabilitation in stroke care.</p><p>Despite these promising findings, the results must be interpreted in the context of certain limitations. The intervention period was limited to two weeks due to constraints imposed by the Chinese health insurance system, whereas previous studies suggested that respiratory training typically spans at least 4 weeks to maximize benefit [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref69">69</xref>]. To address this, the CMRTP was intentionally designed as a high-intensity, twice-daily, multicomponent protocol targeting multiple facets of respiratory function simultaneously. Although the improvements observed in FVC were smaller than those reported in longer trials&#x2014;for example, a recent meta-analysis reported an average FVC increase of 0.87 L in early stroke [<xref ref-type="bibr" rid="ref9">9</xref>]&#x2014;our findings suggest that a condensed, intensive approach could still yield meaningful gains, particularly for patients in the acute phase of stroke.</p><p>The AIRHUB platform significantly facilitated the delivery of this program by overcoming temporal and spatial barriers that often impede rehabilitation in the acute phase. It mitigated treatment disruptions caused by limited clinical staff availability or urgent medical needs, ensuring continuous and stable access to respiratory training. Its user-friendly interface, guided multimedia instructions, and integration with nursing oversight enabled patients to complete high-quality training sessions independently and consistently. The hybrid model, combining digital support with in-hospital supervision, likely contributed to the high adherence rate (97.5%) and absence of adverse events. Compared to home-based rehabilitation models, this approach provided greater control over intervention fidelity, which was critical in early-phase recovery.</p><p>Nevertheless, several limitations should be acknowledged. First, although outcome assessors were blinded, patient awareness of group allocation might have introduced performance bias, particularly for effort-dependent measures such as MIP and MEP. Second, the relatively short duration of the intervention limited the interpretation of long-term effects. Third, the modest sample size (N=40), while sufficient to detect primary effects, might reduce generalizability and statistical power to detect smaller but clinically meaningful differences.</p><p>Recent advances in respiratory rehabilitation included virtual reality biofeedback systems that visualized and quantified respiratory data, offering more effective and engaging training experiences [<xref ref-type="bibr" rid="ref70">70</xref>,<xref ref-type="bibr" rid="ref71">71</xref>]. Devices such as Acapella combined with the active cycle of breathing technique improved lung function in perioperative patients with lung cancer [<xref ref-type="bibr" rid="ref72">72</xref>], and mobile-based intelligent trainers like AeroFit IMT enhanced respiratory muscle strength without inducing fatigue [<xref ref-type="bibr" rid="ref73">73</xref>]. While these technologies showed promise, their use often required specialized equipment and supervision, which might limit feasibility in acute stroke care [<xref ref-type="bibr" rid="ref74">74</xref>]. Therefore, incentive spirometry was chosen in this study for its safety, low cost, ease of training, and visual feedback&#x2013;facilitated adherence [<xref ref-type="bibr" rid="ref74">74</xref>,<xref ref-type="bibr" rid="ref75">75</xref>].</p><p>Future studies should investigate longer interventions, larger multicenter cohorts, and the integration of advanced or digitally enhanced respiratory devices. Comparative studies of different training intensities, configurations, and delivery models, including home-based telerehabilitation, will be essential to optimize individualized protocols and evaluate scalability in diverse clinical settings.</p><p>This randomized controlled trial demonstrated that a 2-week, hospital-based CMRTP combined with conventional rehabilitation significantly improved respiratory function and daily functional performance in patients with moderate acute stroke. The intervention was safe, well-tolerated, and achieved high adherence, suggesting good feasibility for inpatient application. These findings support the integration of mobile-based respiratory training as an effective adjunct to conventional hospital rehabilitation for early respiratory recovery after stroke. Larger multicenter studies with extended follow-up are needed to confirm the long-term benefits and cost-effectiveness of this approach.</p></sec></body><back><ack><p>We sincerely thank the researchers involved who work at the Departments of Rehabilitation Medicine, Neurology, and Neurosurgery of Sichuan Mianyang 404 Hospital and Department of Rehabilitation Medicine of West China Hospital at Sichuan University. The authors affirm that no generative artificial intelligence tools (eg, ChatGPT or similar) were used in the preparation or writing of this manuscript.</p></ack><notes><sec><title>Funding</title><p>This study was funded by Science and Technology Bureau Achivement Transformation Program of Chengdu (2023-YF09-00044-SN).</p></sec><sec><title>Data Availability</title><p>The anonymized datasets generated and analyzed during this study are not publicly accessible due to participant confidentiality concerns and institutional data protection policies of Sichuan Mianyang 404 Hospital, but are available from the corresponding author on reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>Conceptualization, methodology, validation, and writing-original draft, writing &#x2013; review and editing: ZKM</p><p>Conceptualization, formal analysis, data collection, writing &#x2013; original draft; writing &#x2013; review and editing: HHJ</p><p>Conceptualization, methodology, recruitment, manuscript review and editing: YHT</p><p>Data analysis, visualization, writing &#x2013; original draft: JY</p><p>Data analysis, manuscript review, editing, software, and visualization: QCW</p><p>Conceptualization, manuscript review, methodology, supervision, writing &#x2013; original draft, writing &#x2013; review and editing: QG</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ANCOVA</term><def><p>analysis of covariance</p></def></def-item><def-item><term id="abb2">CMRTP</term><def><p>comprehensive mobile-based respiratory training program</p></def></def-item><def-item><term id="abb3">FEV&#x2081;</term><def><p>forced expiratory volume in 1 second</p></def></def-item><def-item><term id="abb4">FVC</term><def><p>forced vital capacity</p></def></def-item><def-item><term id="abb5">HIPAA</term><def><p>Health Insurance Portability and Accountability Act</p></def></def-item><def-item><term id="abb6">LS</term><def><p>least squares</p></def></def-item><def-item><term id="abb7">MBI</term><def><p>modified Barthel index</p></def></def-item><def-item><term id="abb8">MEP</term><def><p>maximal expiratory pressure</p></def></def-item><def-item><term id="abb9">MIP</term><def><p>maximal inspiratory pressure</p></def></def-item><def-item><term id="abb10">NIHSS</term><def><p>National Institutes of Health Stroke Scale</p></def></def-item><def-item><term id="abb11">PEF</term><def><p>peak expiratory flow</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Feigin</surname><given-names>VL</given-names> </name><name name-style="western"><surname>Abate</surname><given-names>MD</given-names> </name><name name-style="western"><surname>Abate</surname><given-names>YH</given-names> 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