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

New Methods (945) Digital Biomarkers and Digital Phenotyping (191) mHealth for Rehabilitation (263) Wearable Devices and Sensors (889) Portable and Mobile Technologies for Rehabilitation (151) Cardiac Rehabilitation (85)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17326, first published .
Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

Authors of this article:

Hélène De Cannière1, 2 Author Orcid Image ;   Christophe JP Smeets1, 2, 3 Author Orcid Image ;   Melanie Schoutteten1, 2 Author Orcid Image ;   Carolina Varon4, 5 Author Orcid Image ;   Chris Van Hoof4, 6 Author Orcid Image ;   Sabine Van Huffel4 Author Orcid Image ;   Willemijn Groenendaal3 Author Orcid Image ;   Pieter Vandervoort1, 2, 7 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Sotirakos S, Fouda B, Mohamed Razif N, Cribben N, Mulhall C, O’Byrne A, Moran B, Connolly R. Harnessing Artificial Intelligence in Cardiac rehabilitation: a Systematic Review. Future Cardiology 2022;18(2):154 View
  2. Fedjajevs A, Groenendaal W, Agell C, Hermeling E. Platform for Analysis and Labeling of Medical Time Series. Sensors 2020;20(24):7302 View
  3. De Cannière H, Smeets C, Schoutteten M, Varon C, Morales Tellez J, Van Hoof C, Van Huffel S, Groenendaal W, Vandervoort P. Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study. Journal of Clinical Medicine 2020;9(10):3160 View
  4. Pottebaum E, Warmoth A, Ayyappan S, Dickens D, Jethava Y, Modi A, Tomasson M, Carr L, Bates M. Wearable Monitors Facilitate Exercise in Adult and Pediatric Stem Cell Transplant. Exercise and Sport Sciences Reviews 2021;49(3):205 View
  5. Youn B, Ko Y, Moon S, Lee J, Ko S, Kim J. Digital Biomarkers for Neuromuscular Disorders: A Systematic Scoping Review. Diagnostics 2021;11(7):1275 View
  6. Rehnberg E, Quaghebeur K, Baselet B, Rajan N, Shazly T, Moroni L, Baatout S, Tabury K. Biomarkers for biosensors to monitor space-induced cardiovascular ageing. Frontiers in Sensors 2023;4 View
  7. Miliani A, Cherid H, Rachedi M. Modèles alternatifs dans la pratique de la rééducation à l’ère de la pandémie de Covid-19. Kinésithérapie, la Revue 2021;21(236-237):40 View
  8. Jeong H, Jeong Y, Park Y, Kim K, Park J, Kang D. Applications of deep learning methods in digital biomarker research using noninvasive sensing data. DIGITAL HEALTH 2022;8:205520762211366 View
  9. Lee K, Breznen B, Ukhova A, Martin S, Koehler F. Virtual healthcare solutions in heart failure: a literature review. Frontiers in Cardiovascular Medicine 2023;10 View
  10. 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
  11. Kasimovskaya N, Fomina E, Krivetskaya M, Diatlova E, Egorova E, Pavlov D. Determination of digital biomarkers of disease progression for digital phenotyping of patients with arterial hypertension. Vasa 2024;53(6):428 View
  12. Echefu G, Batalik L, Lukan A, Shah R, Nain P, Guha A, Brown S. The Digital Revolution in Medicine: Applications in Cardio-Oncology. Current Treatment Options in Cardiovascular Medicine 2025;27(1) View