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 2021 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 2021 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 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 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

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