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Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps

JMIR Mhealth Uhealth 2015;3(1):e27

HTML PDF 189712 83 586
Review and Evaluation of Mindfulness-Based iPhone Apps

JMIR Mhealth Uhealth 2015;3(3):e82

HTML PDF 128777 250 171
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors

JMIR Mhealth Uhealth 2019;7(6):e13384

HTML PDF 102358 17 8
Health App Use Among US Mobile Phone Owners: A National Survey

JMIR Mhealth Uhealth 2015;3(4):e101

HTML PDF 72636 311 421
Mindfulness-Based Mobile Applications: Literature Review and Analysis of Current Features

JMIR Mhealth Uhealth 2013;1(2):e24

HTML PDF 68093 21 94
Effectiveness of a Multimodal Digital Psychotherapy Platform for Adult Depression: A Naturalistic Feasibility Study

JMIR Mhealth Uhealth 2019;7(1):e10948

HTML PDF 56118 15 4
Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature

JMIR Mhealth Uhealth 2015;3(1):e20

HTML PDF 54311 31 235
The Impact of mHealth Interventions: Systematic Review of Systematic Reviews

JMIR Mhealth Uhealth 2018;6(1):e23

HTML PDF 45573 283 210
Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

JMIR Mhealth Uhealth 2019;7(3):e11889

HTML PDF 45467 14 8
Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial

JMIR Mhealth Uhealth 2019;7(6):e14273

HTML PDF 42675 48 30
Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study

JMIR Mhealth Uhealth 2019;7(3):e10828

HTML PDF 41377 86 16
An Evaluation of Mobile Health Application Tools

JMIR Mhealth Uhealth 2014;2(2):e19

HTML PDF 38722 26 116
Sleep Quality Prediction From Wearable Data Using Deep Learning

JMIR Mhealth Uhealth 2016;4(4):e125

HTML PDF 34768 120 54
In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study

JMIR Mhealth Uhealth 2019;7(1):e12419

HTML PDF 34436 126 11
The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment

JMIR Mhealth Uhealth 2015;3(4):e104

HTML PDF 32346 43 110
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data

JMIR Mhealth Uhealth 2018;6(8):e10527

HTML PDF 31326 237 86
Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android

JMIR Mhealth Uhealth 2015;3(1):e8

HTML PDF 28903 19 96
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review

JMIR Mhealth Uhealth 2019;7(2):e11606

HTML PDF 28848 35 35
Safe Sex Messages Within Dating and Entertainment Smartphone Apps: A Review

JMIR Mhealth Uhealth 2016;4(4):e124

HTML PDF 28251 21 11
An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study

JMIR Mhealth Uhealth 2018;6(11):e12106

HTML PDF 27574 62 54
Taking mHealth Forward: Examining the Core Characteristics

JMIR Mhealth Uhealth 2016;4(3):e97

HTML PDF 27555 47 40
mHealthApps: A Repository and Database of Mobile Health Apps

JMIR Mhealth Uhealth 2015;3(1):e28

HTML PDF 26724 109 51
Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps

JMIR Mhealth Uhealth 2015;3(3):e77

HTML PDF 26719 139 38
Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis

JMIR Mhealth Uhealth 2016;4(2):e40

HTML PDF 26518 77 108
Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS)

JMIR Mhealth Uhealth 2016;4(2):e72

HTML PDF 26184 50 121

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