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

Mobile Apps in Cardiology: Review

Mobile Apps in Cardiology: Review

Mobile Apps in Cardiology: Review

Journals

  1. Masterson Creber R, Maurer M, Reading M, Hiraldo G, Hickey K, 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 View
  2. Gaudio L, 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 View
  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 View
  4. DiFilippo K, Huang W, Chapman-Novakofski K. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620 View
  5. Venuto D, Annese V, Mezzina G, Scioscia F, Ruta M, Sciascio E, Vincentelli A. A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. ACM Transactions on Cyber-Physical Systems 2018;2(4):1 View
  6. Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
  7. Pereira-Azevedo N, Osório L, Cavadas V, Fraga A, Carrasquinho E, Cardoso de Oliveira E, Castelo-Branco M, Roobol M. Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps. JMIR mHealth and uHealth 2016;4(3):e86 View
  8. Senteio C. 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 View
  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 View
  10. Khan E, Shambour M. An analytical study of mobile applications for Hajj and Umrah services. Applied Computing and Informatics 2018;14(1):37 View
  11. Gomis-Pastor M, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuy�s F, Salazar A, Roig E, Mangues M. 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 View
  12. Redfern J. 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 View
  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 View
  14. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5 View
  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 View
  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) View
  17. Deeny S, 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 View
  18. Neubeck L, Lowres N, Benjamin E, Freedman S, Coorey G, Redfern J. The mobile revolution—using smartphone apps to prevent cardiovascular disease. Nature Reviews Cardiology 2015;12(6):350 View
  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) View
  20. Silva B, Rodrigues J, 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 View
  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 View
  22. Franco-Martín M, Muñoz-Sánchez J, 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) View
  23. Moreno-Alsasua L, Garcia-Zapirain B, David Rodrigo-Carbonero J, Ruiz I, 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) View
  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 View
  25. Reddy R, Majmudar M, Dhopeshwarkar N, Vacaro V, Isselbacher E, Bhatt A. Mobile Health Apps Preferences and Practice Among Ambulatory Cardiovascular Patients. Future Cardiology 2018;14(5):381 View
  26. de la Vega R, Miró J, Mendelson J. mHealth: A Strategic Field without a Solid Scientific Soul. A Systematic Review of Pain-Related Apps. PLoS ONE 2014;9(7):e101312 View
  27. McKay F, 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 View
  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) View
  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 View
  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 View
  31. Dickinson M, Allen L, Albert N, DiSalvo T, Ewald G, Vest A, Whellan D, Zile M, Givertz M. 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 View
  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 View
  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 View
  34. Hermans M, Van Mourik M, Hermens H, Baan Jr J, Vis M. Remote Monitoring of Patients Undergoing Transcatheter Aortic Valve Replacement: A Framework for Postprocedural Telemonitoring. JMIR Cardio 2018;2(1):e9 View
  35. Islam M, Islam I, Munim K, Islam A. A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis. IEEE Access 2020;8:145601 View
  36. Luo D, Wang P, Lu F, Elias J, Sparks J, Lee Y. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133 View
  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 View
  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 View
  39. Mazoteras-Pardo V, Becerro-De-Bengoa-Vallejo R, Losa-Iglesias M, 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 View
  40. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-de-Abajo B, Robles M, García-Gómez J. Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review. Journal of Medical Systems 2014;38(1) View
  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 View
  42. de la Torre I, Castillo G, Arambarri J, López-Coronado M, Franco M. Mobile Apps for Suicide Prevention: Review of Virtual Stores and Literature. JMIR mHealth and uHealth 2017;5(10):e130 View
  43. Nakagawa K, Yellowlees P. University of California Technology Wellness Index. Psychiatric Clinics of North America 2019;42(4):669 View
  44. Subhi Y, Bube S, Rolskov Bojsen S, Skou Thomsen A, 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 View
  45. Lang M. 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 View
  46. Mazoteras Pardo V, Losa Iglesias M, 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 View
  47. Jeong Y, Kim J. Development and Cross-cultural Validation of the Korean Version of SMArtphone’s uSability Heuristics (SMASH). Healthcare Informatics Research 2017;23(4):328 View
  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 View
  49. De Ridder B, Van Rompaey B, Kampen J, Haine S, Dilles T. Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis. JMIR Cardio 2018;2(1):e4 View
  50. Fujita D, Suzuki A. Evaluation of the Possible Use of PPG Waveform Features Measured at Low Sampling Rate. IEEE Access 2019;7:58361 View
  51. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  52. Athilingam P, Jenkins B. Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review. JMIR Cardio 2018;2(1):e10057 View
  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 View
  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 View
  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 View
  56. Gandhi S, Chen S, Hong L, Sun K, Gong E, Li C, Yan L, 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 View
  57. Kwon B, VanDam C, Chiuve S, Choi H, 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 View
  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 M. Interdisciplinary Mobile Health Model to Improve Clinical Care After Heart Transplantation: Implementation Strategy Study. JMIR Cardio 2020;4(1):e19065 View
  59. Vieira P, Kobayasi R, Pereira F, Zaia I, Sasaki S. Impact of technology use in type 2 diabetes distress: A systematic review. World Journal of Diabetes 2020;11(10):459 View
  60. Huynh B, Barrett J, Joachim A, Smith D, Stafford L, Abbott D, 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 View
  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 M. Mobile Health to Improve Adherence and Patient Experience in Heart Transplantation Recipients: The mHeart Trial. Healthcare 2021;9(4):463 View
  62. Lau N, O'Daffer A, Yi-Frazier J, Rosenberg A. 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 View
  63. Mack C, Terhorst Y, Stephan M, Baumeister H, Stach M, Messner E, Bengel J, Sander L. “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 View
  64. Hawryszko M, Sławiński G, Kozłowski D, Lewicka E. Apple Watch-guided diagnosis of AVNRT in a pregnant woman—A case report and literature review. Frontiers in Cardiovascular Medicine 2022;9 View
  65. Olmedo-Aguirre J, Reyes-Campos J, Alor-Hernández G, Machorro-Cano I, Rodríguez-Mazahua L, Sánchez-Cervantes J. Remote Healthcare for Elderly People Using Wearables: A Review. Biosensors 2022;12(2):73 View
  66. Tobón D, Hossain M, Muhammad G, Bilbao J, Saddik A. Deep learning in multimedia healthcare applications: a review. Multimedia Systems 2022;28(4):1465 View
  67. Mendo I, Marques G, de la Torre Díez I, López-Coronado M, Martín-Rodríguez F. Machine Learning in Medical Emergencies: a Systematic Review and Analysis. Journal of Medical Systems 2021;45(10) View
  68. Ghouali S, Onyema E, Guellil M, Wajid M, Clare O, Cherifi W, Feham M. Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy. IEEE Open Journal of Engineering in Medicine and Biology 2022;3:124 View
  69. Chowdhury M, Ripan R, Islam A, Hridhee R, Sarker F, Islam S, Mamun K. Digital health inclusion towards achieving universal health coverage for Bangladesh utilizing general practitioner model. Health Policy and Technology 2023:100731 View
  70. van Leunen M, de Lathauwer I, Verstappen C, Visser-Stevelink D, Brouwers R, Herkert C, Tio R, Spee R, Lu Y, Kemps H. Telerehabilitation in patients with recent hospitalisation due to acute decompensated heart failure: protocol for the Tele-ADHF randomised controlled trial. BMC Cardiovascular Disorders 2023;23(1) View
  71. Ullah M, Hamayun S, Wahab A, Khan S, Rehman M, Haq Z, Rehman K, Ullah A, Mehreen A, Awan U, Qayum M, Naeem M. Smart Technologies used as Smart Tools in the Management of Cardiovascular Disease and their Future Perspective. Current Problems in Cardiology 2023;48(11):101922 View
  72. Isa R, Fauzan Nordin M, Othman R, Mohd Mohadis H. Infectious Disease-Related Applications. International Journal on Perceptive and Cognitive Computing 2023;9(2):39 View
  73. Yesmin S, Akhter A. Indigenous healing practices in Bangladesh: does science think parallel to these or not?. Global Knowledge, Memory and Communication 2024 View
  74. Antoniou P, Dafli E, Giannakoulas G, Igimbayeva G, Visternichan O, Kyselov S, Lykhasenko I, Lashkul D, Nadareishvili I, Tabagari S, Bamidis P. Education of Patients With Atrial Fibrillation and Evaluation of the Efficacy of a Mobile Virtual Patient Environment: Protocol for a Multicenter Pseudorandomized Controlled Trial. JMIR Research Protocols 2024;13:e45946 View
  75. McKay F, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22 View
  76. Setiawan H, Xu W, Wang C, Li C, Ariyanto H, Firdaus F, Mustopa A, Hidayat N, Hu R. The effect of mobile application based genetic counseling on the psychosocial well-being of thalassemia patients and caregivers: A randomized controlled trial. Patient Education and Counseling 2025;130:108457 View

Books/Policy Documents

  1. Rivolta M, Sassi R. m_Health Current and Future Applications. View
  2. Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. View
  3. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. View
  4. Andreadis I, Nikita K. Cardiovascular Computing—Methodologies and Clinical Applications. View
  5. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero J, Molina-Luque R, Sánchez-Muñoz A, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. View
  6. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  7. Tripoliti E, Karanasiou G, Kalatzis F, Naka K, Fotiadis D. Heart Failure: From Research to Clinical Practice. View
  8. Karanasiou G, Tripoliti E, Kalatzis F, Errachid A, Fotiadis D. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. View