Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11889, first published .
Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

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

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

Journals

  1. Costa A, Rincon J, Julian V, Novais P, Carrascosa C. A Low-Cost Cognitive Assistant. Electronics 2020;9(2):310 View
  2. Arab S, Imbeau D, Dubeau D, Dubé P, Auger I. Comparison of nine heart rate-based models to predict work metabolism of Forest workers. Ergonomics 2020;63(11):1394 View
  3. Sun J, Liu Y. Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study. JMIR mHealth and uHealth 2020;8(8):e17699 View
  4. Fuller D, Colwell E, Low J, Orychock K, Tobin M, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor N. Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR mHealth and uHealth 2020;8(9):e18694 View
  5. Zhang Y, Weaver R, Armstrong B, Burkart S, Zhang S, Beets M. Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis. Journal of Sports Sciences 2020;38(17):2021 View
  6. Lin H, Sardana M, Zhang Y, Liu C, Trinquart L, Benjamin E, Manders E, Fusco K, Kornej J, Hammond M, Spartano N, Pathiravasan C, Kheterpal V, Nowak C, Borrelli B, Murabito J, McManus D. Association of Habitual Physical Activity With Cardiovascular Disease Risk. Circulation Research 2020;127(10):1253 View
  7. Gajda R. Is Continuous ECG Recording on Heart Rate Monitors the Most Expected Function by Endurance Athletes, Coaches, and Doctors?. Diagnostics 2020;10(11):867 View
  8. Elshafei M, Costa D, Shihab E. On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Sensors 2021;21(4):1070 View
  9. Hayama E, Yamashita T, Otsuka T, Yagi N, Arita T, Yajima J, Suzuki S. A Study of Validation in Atrial Fibrillation Detection with a Wristwatch-type Pulse Wave Monitoring Device : Comparison with Holter Monitoring Device(CVI ARO 3 study). Japanese Journal of Electrocardiology 2020;40(4):207 View
  10. Qureshi M, Qureshi K, Jeon G, Piccialli F. Deep learning-based ambient assisted living for self-management of cardiovascular conditions. Neural Computing and Applications 2022;34(13):10449 View
  11. Mühlen J, Stang J, Lykke Skovgaard E, Judice P, Molina-Garcia P, Johnston W, Sardinha L, Ortega F, Caulfield B, Bloch W, Cheng S, Ekelund U, Brønd J, Grøntved A, Schumann M. Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network. British Journal of Sports Medicine 2021;55(14):767 View
  12. Huynh P, Shan R, Osuji N, Ding J, Isakadze N, Marvel F, Sharma G, Martin S. Heart Rate Measurements in Patients with Obstructive Sleep Apnea and Atrial Fibrillation: Prospective Pilot Study Assessing Apple Watch’s Agreement With Telemetry Data. JMIR Cardio 2021;5(1):e18050 View
  13. Baťalík L. (Cardiovascular telerehabilitation: remotely monitored physical exercise). Cor et Vasa 2021;63(1):79 View
  14. . Realize, Analyze, Engage (RAE): A Digital Tool to Support Recovery from Substance Use Disorder. Journal of Psychiatry and Brain Science 2021 View
  15. Wójcikowski M, Pankiewicz B. Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation. Sensors 2020;20(6):1783 View
  16. Falter M, Scherrenberg M, Dendale P. Digital Health in Cardiac Rehabilitation and Secondary Prevention: A Search for the Ideal Tool. Sensors 2020;21(1):12 View
  17. Edgerton J, Damiano R. Commentary: What is the measure of success for atrial fibrillation ablation? Is a reduction in arrhythmia burden sufficient?. The Journal of Thoracic and Cardiovascular Surgery 2023;165(4):1396 View
  18. Weng D, Ding J, Sharma A, Yanek L, Xun H, Spaulding E, Osuji N, Huynh P, Ogunmoroti O, Lee M, Demo R, Marvel F, Martin S. Heart rate trajectories in patients recovering from acute myocardial infarction: A longitudinal analysis of Apple Watch heart rate recordings. Cardiovascular Digital Health Journal 2021;2(5):270 View
  19. Meng Y, Liang G, Yue M, Ramirez G. Deep Learning-Based Arrhythmia Detection in Electrocardiograph. Scientific Programming 2021;2021:1 View
  20. Lama J, Yau A, Chen G, Sivakumar A, Zhao X, Chen J. Textile triboelectric nanogenerators for self-powered biomonitoring. Journal of Materials Chemistry A 2021;9(35):19149 View
  21. Sardana M, Lin H, Zhang Y, Liu C, Trinquart L, Benjamin E, Manders E, Fusco K, Kornej J, Hammond M, Spartano N, Pathiravasan C, Kheterpal V, Nowak C, Borrelli B, Murabito J, McManus D. Association of Habitual Physical Activity With Home Blood Pressure in the Electronic Framingham Heart Study (eFHS): Cross-sectional Study. Journal of Medical Internet Research 2021;23(6):e25591 View
  22. Alessandrini M, Viziano A, Pistillo R, Granito I, Basso L, Preziosi N, Micarelli A. Changes in daily energy expenditure and movement behavior in unilateral vestibular hypofunction: Relationships with neuro-otological parameters. Journal of Clinical Neuroscience 2021;91:200 View
  23. Golbus J, Pescatore N, Nallamothu B, Shah N, Kheterpal S. Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study. The Lancet Digital Health 2021;3(11):e707 View
  24. Islam M, Islam M, Hashim N, Rashid M, Bari B, Farid F. New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia. IEEE Access 2022;10:58081 View
  25. Ho W, Yang Y, Li T. Accuracy of wrist-worn wearable devices for determining exercise intensity. DIGITAL HEALTH 2022;8:205520762211243 View
  26. Arakawa T. A Review of Heartbeat Detection Systems for Automotive Applications. Sensors 2021;21(18):6112 View
  27. Lee C, Lee C, Fernando C, Chow C. Comparison of Apple Watch vs KardiaMobile: A Tale of Two Devices. CJC Open 2022;4(11):939 View
  28. Dobbie L, Tahrani A, Alam U, James J, Wilding J, Cuthbertson D. Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?. Current Obesity Reports 2021;11(3):93 View
  29. Helmer P, Hottenrott S, Rodemers P, Leppich R, Helwich M, Pryss R, Kranke P, Meybohm P, Winkler B, Sammeth M. Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial. Journal of Medical Internet Research 2022;24(12):e42359 View
  30. Chamberlain K, Al Majeed S. Evaluating the Barrier Effects of Charge Point Trauma on UK Electric Vehicle Growth. World Electric Vehicle Journal 2021;12(3):152 View
  31. Martín-Escudero P, Cabanas A, Dotor-Castilla M, Galindo-Canales M, Miguel-Tobal F, Fernández-Pérez C, Fuentes-Ferrer M, Giannetti R. Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?. Bioengineering 2023;10(2):254 View
  32. Alqahtani A. A Review of the Scope, Future, and Effectiveness of Using Artificial Intelligence in Cardiac Rehabilitation: A Call to Action for the Kingdom of Saudi Arabia. Applied Artificial Intelligence 2023;37(1) View
  33. Dunne D, Lefevre-Lewis C, Cunniffe B, Impey S, Tod D, Close G, Morton J, Murphy R. Athlete experiences of communication strategies in applied sports nutrition and future considerations for mobile app supportive solutions. Frontiers in Sports and Active Living 2022;4 View
  34. Elshafei M, Costa D, Shihab E. Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables’ Data from the Crowd. Sensors 2022;22(4):1454 View
  35. Lui G, Loughnane D, Polley C, Jayarathna T, Breen P. The Apple Watch for Monitoring Mental Health–Related Physiological Symptoms: Literature Review. JMIR Mental Health 2022;9(9):e37354 View
  36. Zhang Y, Zhao Y, Liu K, Chai Y, Lin F, Zhan H, Zheng Y, Yuan W. Test reliability and comparability of paper and Chinese electronic version of the western Ontario and McMaster University osteoarthritis index: protocol for a randomised controlled clinical trial. BMJ Open 2022;12(11):e063576 View
  37. Wang Z, Zhang Q, Lan K, Yang Z, Gao X, Wu A, Xin Y, Zhang Z. Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals. Frontiers in Physiology 2022;13 View
  38. Falter M, Scherrenberg M, Dendale P. Digital health in de cardiovasculaire preventie en revalidatie. Tijdschrift voor Geneeskunde 2022 View
  39. Qureshi F, Golan R, Ghomeshi A, Ramasamy R. An Update on the Use of Wearable Devices in Men’s Health. The World Journal of Men's Health 2023;41(4):785 View
  40. Yuan Z, Xu T, Cai J, Zhao Y, Cao W, Fichera A, Liu X, Yao J, Wang H. Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer. Annals of Surgery 2022;275(4):e645 View
  41. Abdou A, Krishnan S. Horizons in Single-Lead ECG Analysis From Devices to Data. Frontiers in Signal Processing 2022;2 View
  42. Wang J, Wu X, Sun J, Xu T, Zhu T, Yu F, Duan S, Deng Q, Liu Z, Guo F, Li X, Wang Y, Song L, Feng H, Zhou X, Jiang H. Prediction of major adverse cardiovascular events in patients with acute coronary syndrome: Development and validation of a non-invasive nomogram model based on autonomic nervous system assessment. Frontiers in Cardiovascular Medicine 2022;9 View
  43. Huang P, Kim K, Schermer M. Ethical Issues of Digital Twins for Personalized Health Care Service: Preliminary Mapping Study. Journal of Medical Internet Research 2022;24(1):e33081 View
  44. Cai Y, Wang Z, Zhang W, Kong W, Jiang J, Zhao R, Wang D, Feng L, Ni G. Estimation of Heart Rate and Energy Expenditure Using a Smart Bracelet during Different Exercise Intensities: A Reliability and Validity Study. Sensors 2022;22(13):4661 View
  45. Garikapati K, Turnbull S, Bennett R, Campbell T, Kanawati J, Wong M, Thomas S, Chow C, Kumar S. The Role of Contemporary Wearable and Handheld Devices in the Diagnosis and Management of Cardiac Arrhythmias. Heart, Lung and Circulation 2022;31(11):1432 View
  46. Alfonso C, Garcia-Gonzalez M, Parrado E, Gil-Rojas J, Ramos-Castro J, Capdevila L. Agreement between two photoplethysmography-based wearable devices for monitoring heart rate during different physical activity situations: a new analysis methodology. Scientific Reports 2022;12(1) View
  47. Dandapani H, Davoodi N, Joerg L, Li M, Strauss D, Fan K, Massachi T, Goldberg E. Leveraging Mobile-Based Sensors for Clinical Research to Obtain Activity and Health Measures for Disease Monitoring, Prevention, and Treatment. Frontiers in Digital Health 2022;4 View
  48. Howell P, Aryal A, Wu C. Web-Based Patient Recommender Systems for Preventive Care: Protocol for Empirical Research Propositions. JMIR Research Protocols 2023;12:e43316 View
  49. Xu A, Chen E, Chen J. A Low-Cost Non-Invasive Continuous Cardiovascular Monitoring System Based on Oil-Filled Rubber Tubing. IEEE Sensors Journal 2022;22(5):4644 View
  50. Kim C, Kim S, Suh M. Accuracy and Validity of Commercial Smart Bands for Heart Rate Measurements During Cardiopulmonary Exercise Test. Annals of Rehabilitation Medicine 2022;46(4):209 View
  51. Wattanapisit A, Ng C, Angkurawaranon C, Wattanapisit S, Chaovalit S, Stoutenberg M. Summary and application of the WHO 2020 physical activity guidelines for patients with essential hypertension in primary care. Heliyon 2022;8(10):e11259 View
  52. Ruiz-Malagón E, Castro-Infantes S, Ritaco-Real M, Soto-Hermoso V. Concurrent validity of the Polar Precision Prime® photoplethysmographic system to measure heart rate during a tennis training session. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 2023:175433712311651 View
  53. Chimatapu S, Mittelman S, Habib M, Osuna-Garcia A, Vidmar A. Wearable Devices Beyond Activity Trackers in Youth with Obesity: Summary of Options. Childhood Obesity 2023 View
  54. Brandenbarg P, Hoekstra F, Barakou I, Seves B, Hettinga F, Hoekstra T, van der Woude L, Dekker R, Krops L. Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review. BMC Sports Science, Medicine and Rehabilitation 2023;15(1) View
  55. Yamada K, Enokida Y, Kato R, Imaizumi J, Takada T, Ojima H. The Feasibility and Reliability of Upper Arm–Worn Apple Watch Heart Rate Monitoring for Surgeons During Surgery: Observational Study. JMIR Human Factors 2023;10:e50891 View
  56. Ye X, Sun M, Yu S, Yang J, Liu Z, Lv H, Wu B, He J, Wang X, Huang L. Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study. JMIR mHealth and uHealth 2023;11:e43340 View
  57. Durán Vega H, Lopez Echaury A, Flores E. The Energy a Plastic Surgeon Expends during Liposuction. Plastic and Reconstructive Surgery - Global Open 2023;11(5):e5001 View
  58. Shaik J, Bhavanam S. Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network. SN Computer Science 2023;4(5) View
  59. Uba J, Nuamah J. Investigating Human Physiological Responses to Work-Related Stress. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2023;67(1):2285 View
  60. Tran T, Steiner J, Venkateswaran A, Buber J. Peak oxygen consumption by smartwatches compared with cardiopulmonary exercise test in complex congenital heart disease. Heart 2024;110(5):353 View
  61. Shrestha A, Khanal B, Mainali N, Shrestha S, Chapagain S, Umar T, Jaiswal V. Navigating the Role of Smartwatches in Cardiac Fitness Monitoring: Insights From Physicians and the Evolving Landscape. Current Problems in Cardiology 2024;49(1):102073 View
  62. Agbohessou K, Sahuguede S, Lacroix J, Hamdan F, Conchon E, Dumas Y, Julien-Vergonjanne A, Mandigout S. Validity of Estimated Results from a Wearable Device for the Tests Time Up and Go and Sit to Stand in Young Adults and in People with Chronic Diseases. Sensors 2023;23(12):5742 View
  63. Shiwani M, Chico T, Ciravegna F, Mihaylova L. Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. Sensors 2023;23(12):5752 View
  64. Sanal-Hayes N, Mclaughlin M, Hayes L, Mair J, Ormerod J, Carless D, Hilliard N, Meach R, Ingram J, Sculthorpe N. A scoping review of ‘Pacing’ for management of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): lessons learned for the long COVID pandemic. Journal of Translational Medicine 2023;21(1) View
  65. Ibrahim N, Lee W, Rampal S, Suhaimi A. Integrating the wrist-worn tracker in cardiac rehabilitation programmes: a scoping review. International Journal of Therapy and Rehabilitation 2023;30(10):1 View
  66. Dang T, Spathis D, Ghosh A, Mascolo C. Human-centred artificial intelligence for mobile health sensing: challenges and opportunities. Royal Society Open Science 2023;10(11) View
  67. Ibrahim N, Rampal S, Lee W, Pek E, Suhaimi A. Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study. Cardiovascular Engineering and Technology 2024;15(1):12 View
  68. Montanari A, Ferlini A, Balaji A, Mascolo C, Kawsar F. EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals. Scientific Data 2023;10(1) View
  69. Wang T, Wu H, Wang W, Chen C, Chien W, Chu C, Wu Y. Assessment of Heart Rate Monitoring During Exercise With Smart Wristbands and a Heart Rhythm Patch: Validation and Comparison Study. JMIR Formative Research 2023;7:e52519 View
  70. Rockette-Wagner B, Aggarwal R. A review of the evidence for the utility of physical activity monitor use in patients with idiopathic inflammatory myopathies. Rheumatology 2024 View
  71. Adil M, Atiq I, Younus S. Effectiveness of the Apple Watch as a mental health tracker. Journal of Global Health 2024;14 View

Books/Policy Documents

  1. Mechanick J, Zhao S. Creating a Lifestyle Medicine Center. View
  2. Milosevic M, Moon N, McFerran M, al-Qallawi S, Ponce L, Juszczyk C, Converse P. Augmented Cognition. View
  3. Ghosh M, Barman S. Proceedings of the 3rd International Conference on Communication, Devices and Computing. View
  4. Hull R, Chauke-Malinga N, Gaudji G, Blenman K, Dlamini Z. Society 5.0 and Next Generation Healthcare. View
  5. Thomas M, Boursalie O, Samavi R, Doyle T. Artificial Intelligence for Personalized Medicine. View
  6. Blenman K, Hull R, Maimela C, Molefi T, Khanyile R, Dlamini Z. Society 5.0 and Next Generation Healthcare. View