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Citing this Article

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Published on 24.07.13 in Vol 1, No 2 (2013): Jul-Dec

This paper is in the following e-collection/theme issue:

Works citing "Mobile Apps in Cardiology: Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2737):

(note that this is only a small subset of citations)

  1. Masterson Creber RM, Maurer MS, Reading M, Hiraldo G, Hickey KT, Iribarren S. Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS). JMIR mHealth and uHealth 2016;4(2):e74
    CrossRef
  2. Gaudio LT, Veltri P, De Rosa S, Indolfi C, Fragomeni G. Model and Application to Support the Coronary Artery Diseases (CAD): Development and Testing. Interdisciplinary Sciences: Computational Life Sciences 2020;12(1):50
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  3. Jeon J, Kim K. Consumer's Needs for Development of Smartphone Application for Self Care Performance of Patients with Chronic Hepatitis B. The Journal of the Korea Contents Association 2016;16(4):729
    CrossRef
  4. DiFilippo KN, Huang WD, Chapman-Novakofski KM. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620
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  5. Venuto DD, Annese VF, Mezzina G, Scioscia F, Ruta M, Sciascio ED, Vincentelli AS. A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. ACM Transactions on Cyber-Physical Systems 2018;2(4):1
    CrossRef
  6. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
    CrossRef
  7. Pereira-Azevedo N, Osório L, Cavadas V, Fraga A, Carrasquinho E, Cardoso de Oliveira E, Castelo-Branco M, Roobol MJ. Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps. JMIR mHealth and uHealth 2016;4(3):e86
    CrossRef
  8. . Investigating the Enduring Impact of a Community-Based Health Education Program to Promote African American Elders’ Use of Technology Designed to Support Chronic Disease Self-Management. Geriatrics 2018;3(4):70
    CrossRef
  9. Miralles I, Granell C. Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions. International Journal of Environmental Research and Public Health 2019;16(7):1197
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  10. Khan EA, Shambour MKY. An analytical study of mobile applications for Hajj and Umrah services. Applied Computing and Informatics 2018;14(1):37
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  11. Gomis-Pastor M, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuy�s F, Salazar A, Roig E, Mangues MA. Strategies for the follow-up of patients with chronic diseases and polypharmacy: development and implementation of a new health care approach based on mobile technology (DIPP-mHeart Study). (Preprint). JMIR Formative Research 2018;
    CrossRef
  12. . Can Older Adults Benefit from Smart Devices, Wearables, and Other Digital Health Options to Enhance Cardiac Rehabilitation?. Clinics in Geriatric Medicine 2019;35(4):489
    CrossRef
  13. Gliner V, Behar J, Yaniv Y. Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector. JMIR mHealth and uHealth 2018;6(5):e118
    CrossRef
  14. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646
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  15. Minutolo A, Esposito M, De Pietro G. Design and validation of a light-weight reasoning system to support remote health monitoring applications. Engineering Applications of Artificial Intelligence 2015;41:232
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  16. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
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  17. Deeny SR, Steventon A. Making sense of the shadows: priorities for creating a learning healthcare system based on routinely collected data. BMJ Quality & Safety 2015;24(8):505
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  18. Neubeck L, Lowres N, Benjamin EJ, Freedman SB, Coorey G, Redfern J. The mobile revolution—using smartphone apps to prevent cardiovascular disease. Nature Reviews Cardiology 2015;12(6):350
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  19. Lindow T, Engblom H, Khoshnood A, Ekelund U, Carlsson M, Pahlm O. Chest‐lead ST‐J amplitudes using arm electrodes as reference instead of the Wilson central terminal in smartphone ECG applications: Influence on ST‐elevation myocardial infarction criteria fulfillment. Annals of Noninvasive Electrocardiology 2018;23(5)
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  20. Silva BM, Rodrigues JJ, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. Journal of Biomedical Informatics 2015;56:265
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  21. Vo V, Auroy L, Sarradon-Eck A. Patients’ Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies. JMIR mHealth and uHealth 2019;7(7):e13817
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  22. Franco-Martín MA, Muñoz-Sánchez JL, Sainz-de-Abajo B, Castillo-Sánchez G, Hamrioui S, de la Torre-Díez I. A Systematic Literature Review of Technologies for Suicidal Behavior Prevention. Journal of Medical Systems 2018;42(4)
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  23. Moreno-Alsasua L, Garcia-Zapirain B, David Rodrigo-Carbonero J, Ruiz IO, Hamrioui S, de la Torre Díez I. Primary Prevention of Asymptomatic Cardiovascular Disease Using Physiological Sensors Connected to an iOS App. Journal of Medical Systems 2017;41(12)
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  24. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185
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  25. Reddy R, Majmudar M, Dhopeshwarkar N, Vacaro V, Isselbacher E, Bhatt AB. Mobile health apps preferences and practice among ambulatory cardiovascular patients. Future Cardiology 2018;14(5):381
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  26. de la Vega R, Miró J, Mendelson JE. mHealth: A Strategic Field without a Solid Scientific Soul. A Systematic Review of Pain-Related Apps. PLoS ONE 2014;9(7):e101312
    CrossRef
  27. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
    CrossRef
  28. Ashoorkhani M, Bozorgi A, Majdzadeh R, Hosseini H, Yoonessi A, Ramezankhani A, Eftekhar H. Comparing the effectiveness of the BPMAP (Blood Pressure Management Application) and usual care in self-management of primary hypertension and adherence to treatment in patients aged 30–60 years: study protocol for a randomized controlled trial. Trials 2016;17(1)
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  29. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
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  30. Salari R, R Niakan Kalhori S, Ghazisaeidi M, Fatehi F. Conformity of Diabetes Mobile apps with the Chronic Care Model. BMJ Health & Care Informatics 2019;26(1):e000017
    CrossRef
  31. Dickinson MG, Allen LA, Albert NA, DiSalvo T, Ewald GA, Vest AR, Whellan DJ, Zile MR, Givertz MM. Remote Monitoring of Patients With Heart Failure: A White Paper From the Heart Failure Society of America Scientific Statements Committee. Journal of Cardiac Failure 2018;24(10):682
    CrossRef
  32. Mosconi P, Radrezza S, Lettieri E, Santoro E. Use of Health Apps and Wearable Devices: Survey Among Italian Associations for Patient Advocacy. JMIR mHealth and uHealth 2019;7(1):e10242
    CrossRef
  33. Zhang L, Ding D, Neubeck L, Gallagher P, Paull G, Gao Y, Gallagher R. Mobile Technology Utilization Among Patients From Diverse Cultural and Linguistic Backgrounds Attending Cardiac Rehabilitation in Australia: Descriptive, Case-Matched Comparative Study. JMIR Cardio 2018;2(1):e13
    CrossRef
  34. Hermans MC, Van Mourik MS, Hermens HJ, Baan Jr J, Vis MM. Remote Monitoring of Patients Undergoing Transcatheter Aortic Valve Replacement: A Framework for Postprocedural Telemonitoring. JMIR Cardio 2018;2(1):e9
    CrossRef
  35. Islam MN, Islam I, Munim KM, Islam AKMN. A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis. IEEE Access 2020;8:145601
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  36. Luo D, Wang P, Lu F, Elias J, Sparks JA, Lee YC. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133
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  37. Sindi S, Calov E, Fokkens J, Ngandu T, Soininen H, Tuomilehto J, Kivipelto M. The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2015;1(3):328
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  38. Muhammed T, Mehmood R, Albeshri A, Katib I. UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities. IEEE Access 2018;6:32258
    CrossRef
  39. Mazoteras-Pardo V, Becerro-De-Bengoa-Vallejo R, Losa-Iglesias ME, López-López D, Palomo-López P, Rodríguez-Sanz D, Calvo-Lobo C. The QardioArm Blood Pressure App for Self-Measurement in an Obese Population: Validation Study Using the European Society of Hypertension International Protocol Revision 2010. JMIR mHealth and uHealth 2018;6(10):e11632
    CrossRef
  40. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-de-Abajo B, Robles M, García-Gómez JM. Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review. Journal of Medical Systems 2014;38(1)
    CrossRef
  41. Liu H, Lee W, Sun Y, Fen J, Chen T, Chou L, Hwang S. Hospital-Owned Apps in Taiwan: Nationwide Survey. JMIR mHealth and uHealth 2018;6(1):e22
    CrossRef
  42. de la Torre I, Castillo G, Arambarri J, López-Coronado M, Franco MA. Mobile Apps for Suicide Prevention: Review of Virtual Stores and Literature. JMIR mHealth and uHealth 2017;5(10):e130
    CrossRef
  43. Nakagawa K, Yellowlees PM. University of California Technology Wellness Index. Psychiatric Clinics of North America 2019;42(4):669
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  44. Subhi Y, Bube SH, Rolskov Bojsen S, Skou Thomsen AS, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79
    CrossRef
  45. . Heart Rate Monitoring Apps: Information for Engineers and Researchers About the New European Medical Devices Regulation 2017/745. JMIR Biomedical Engineering 2017;2(1):e2
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  46. Mazoteras Pardo V, Losa Iglesias ME, López Chicharro J, Becerro de Bengoa Vallejo R. The QardioArm App in the Assessment of Blood Pressure and Heart Rate: Reliability and Validity Study. JMIR mHealth and uHealth 2017;5(12):e198
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  47. Jeong YW, Kim JA. Development and Cross-cultural Validation of the Korean Version of SMArtphone’s uSability Heuristics (SMASH). Healthcare Informatics Research 2017;23(4):328
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  48. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-De-Abajo B. Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review of the Literature and App Stores. JMIR mhealth and uhealth 2014;2(1):e1
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  49. De Ridder B, Van Rompaey B, Kampen JK, Haine S, Dilles T. Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis. JMIR Cardio 2018;2(1):e4
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  50. Fujita D, Suzuki A. Evaluation of the Possible Use of PPG Waveform Features Measured at Low Sampling Rate. IEEE Access 2019;7:58361
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  51. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
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  52. Athilingam P, Jenkins B. Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review. JMIR Cardio 2018;2(1):e10057
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  53. Wali S, Demers C, Shah H, Wali H, Lim D, Naik N, Ghany A, Vispute A, Wali M, Keshavjee K. Evaluation of Heart Failure Apps to Promote Self-Care: Systematic App Search. JMIR mHealth and uHealth 2019;7(11):e13173
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  54. Spissu M, Fiamma M, Meloni P, Nicoletti A, Carrus A, Sanna S, Logias F. Mobile Apps in Healthcare: Regulations and Review of Their Use in the Treatment of Frequent Chronic Diseases. Giornale di Tecniche Nefrologiche e Dialitiche 2017;29(1):3
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  55. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8
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  56. Gandhi S, Chen S, Hong L, Sun K, Gong E, Li C, Yan LL, Schwalm J. Effect of Mobile Health Interventions on the Secondary Prevention of Cardiovascular Disease: Systematic Review and Meta-analysis. Canadian Journal of Cardiology 2017;33(2):219
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  57. Kwon BC, VanDam C, Chiuve SE, Choi HW, Entler P, Tan P, Huh-Yoo J. Improving Heart Disease Risk Through Quality-Focused Diet Logging: Pre-Post Study of a Diet Quality Tracking App. JMIR mHealth and uHealth 2020;8(12):e21733
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  58. Gomis-Pastor M, Mirabet S, Roig E, Lopez L, Brossa V, Galvez-Tugas E, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuyàs F, Salazar A, Mangues MA. Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study. JMIR Cardio 2020;4(1):e19065
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  59. Vieira P, Kobayasi R, Pereira F, Zaia IM, Sasaki SU. Impact of technology use in type 2 diabetes distress: A systematic review. World Journal of Diabetes 2020;11(10):459
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  60. Huynh B, Barrett J, Joachim A, Smith D, Stafford LC, Abbott DE, Alagoz E. Patient and provider perceptions on utilizing a mobile technology platform to improve surgical outcomes in the perioperative setting. Journal of Surgical Oncology 2021;123(5):1353
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  61. Gomis-Pastor M, Mirabet Perez S, Roig Minguell E, Brossa Loidi V, Lopez Lopez L, Ros Abarca S, Galvez Tugas E, Mas-Malagarriga N, Mangues Bafalluy MA. Mobile Health to Improve Adherence and Patient Experience in Heart Transplantation Recipients: The mHeart Trial. Healthcare 2021;9(4):463
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  62. Lau N, O'Daffer A, Yi-Frazier J, Rosenberg AR. Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps. Journal of Medical Internet Research 2021;23(6):e27105
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  63. Mack C, Terhorst Y, Stephan M, Baumeister H, Stach M, Messner E, Bengel J, Sander LB. “Help in a Heartbeat?”: A Systematic Evaluation of Mobile Health Applications (Apps) for Coronary Heart Disease. International Journal of Environmental Research and Public Health 2021;18(19):10323
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  66. Tobón DP, Hossain MS, Muhammad G, Bilbao J, Saddik AE. Deep learning in multimedia healthcare applications: a review. Multimedia Systems 2022;28(4):1465
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2737):

  1. Rivolta MW, Sassi R. m_Health Current and Future Applications. 2019. Chapter 7:101
    CrossRef
  2. Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. 2018. Chapter 4
    CrossRef
  3. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. 2019. Chapter 2:5
    CrossRef
  4. Andreadis II, Nikita KS. Cardiovascular Computing—Methodologies and Clinical Applications. 2019. Chapter 13:261
    CrossRef
  5. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero JM, Molina-Luque R, Sánchez-Muñoz AA, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. 2015. Chapter 3:24
    CrossRef
  6. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  7. Tripoliti EE, Karanasiou GS, Kalatzis FG, Naka KK, Fotiadis DI. Heart Failure: From Research to Clinical Practice. 2017. Chapter 99:353
    CrossRef
  8. Karanasiou GS, Tripoliti EE, Kalatzis FG, Errachid A, Fotiadis DI. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. 2016. Chapter 229:1180
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