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

Fitness Trackers and Smart Pedometers/Accelerometers (571) Methods and Feasibility Studies (384) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Stroke (166)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14494, first published .
Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study

Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study

Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study

Authors of this article:

Irene Katzan1, 2 Author Orcid Image ;   Andrew Schuster1 Author Orcid Image ;   Tyler Kinzy1 Author Orcid Image
Article Authors Cited by (19) Tweetations (3) Metrics

Journals

  1. Piau A, Steinmeyer Z, Charlon Y, Courbet L, Rialle V, Lepage B, Campo E, Nourhashemi F. A Smart Shoe Insole to Monitor Frail Older Adults’ Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study. JMIR mHealth and uHealth 2021;9(7):e15641 View
  2. Frodi D, Manea V, Diederichsen S, Svendsen J, Wac K, Andersen T. Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study. Journal of Personalized Medicine 2022;12(6):942 View
  3. Pham T, Green R, Neaves S, Hynan L, Bell K, Juengst S, Zhang R, Driver S, Ding K. Physical activity and perceived barriers in individuals with moderate‐to‐severe traumatic brain injury. PM&R 2023;15(6):705 View
  4. Fang C, Zhang Z, Xu H, Liu Y, Wang X, Yuan L, Xu Y, Zhu Z, Zhang A, Shao A, Lou M. Natural Products for the Treatment of Post-stroke Depression. Frontiers in Pharmacology 2022;13 View
  5. Chow J, Stokic D. Longitudinal Changes in Temporospatial Gait Characteristics during the First Year Post-Stroke. Brain Sciences 2021;11(12):1648 View
  6. Polhemus A, Sieber C, Haag C, Sylvester R, Kool J, Gonzenbach R, von Wyl V, Li-Jessen N. Non-equivalent, but still valid: Establishing the construct validity of a consumer fitness tracker in persons with multiple sclerosis. PLOS Digital Health 2023;2(1):e0000171 View
  7. Reale G, Iacovelli C, Rabuffetti M, Manganotti P, Marinelli L, Sacco S, Furlanis G, Ajčević M, Zauli A, Moci M, Giovannini S, Crosetti S, Grazzini M, Castiglia S, Podestà M, Calabresi P, Ferrarin M, Caliandro P. Actigraphic Sensors Describe Stroke Severity in the Acute Phase: Implementing Multi-Parametric Monitoring in Stroke Unit. Journal of Clinical Medicine 2023;12(3):1178 View
  8. Holubová A, Malá E, Hoidekrová K, Pětioký J, Ďuriš A, Mužík J. The Accuracy of Commercially Available Fitness Trackers in Patients after Stroke. Sensors 2022;22(19):7392 View
  9. Waddell K, Patel M, Wilkinson J, Burke R, Bravata D, Koganti S, Wood S, Morley J. Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease. Archives of Rehabilitation Research and Clinical Translation 2023;5(1):100250 View
  10. Ohri N, Bar-Ad V, Fernandez C, Rakowski C, Leiby B, Hoeltzel G, Sung A, Zubair N, Henao C, Dicker A. Remote Activity Monitoring and Electronic Patient-Reported Outcomes Collection During Radiotherapy for Head and Neck Cancer: A Pilot Study. JCO Clinical Cancer Informatics 2023;(7) View
  11. French M, Keatley E, Li J, Balasubramanian A, Hansel N, Wise R, Searson P, Singh A, Raghavan P, Wegener S, Roemmich R, Celnik P. The feasibility of remotely monitoring physical, cognitive, and psychosocial function in individuals with stroke or chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9 View
  12. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  13. Carr E, Whiston A, O'Reilly S, O Donoghue M, Cardy N, Carter D, Glynn L, Walsh J, Forbes J, Walsh C, McManus J, Hunter A, Butler M, Paul L, Fitzsimons C, Bernhardt J, Richardson I, Bradley J, Salsberg J, Hayes S. Sequential multiple assignment randomised trial to develop an adaptive mobile health intervention to increase physical activity in people poststroke in the community setting in Ireland: TAPAS trial protocol. BMJ Open 2024;14(1):e072811 View
  14. Sieber C, Haag C, Polhemus A, Haile S, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Exploring the Major Barriers to Physical Activity in Persons With Multiple Sclerosis: Observational Longitudinal Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e52733 View
  15. Seregni A, Tropea P, Re R, Biscaro V, Judica E, Caprino M, Gand K, Schlieter H, Corbo M. Secondary care for subjects with stroke: Compliance, usability and technological acceptance of the vCare platform solution. Smart Health 2024;32:100483 View
  16. Silva R, Silva S, Cardoso D, Quirino M, Silva M, Gomes L, Fernandes J, Oliveira R, Fernandes A, Ribeiro T. Psychometric properties of wearable technologies to assess post-stroke gait parameters: A systematic review. Gait & Posture 2024;113:543 View
  17. Pereira A, Machado Neto O, Elui V, Pimentel M. Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study (Preprint). JMIR Aging 2023 View
  18. Latif A, Al Janabi H, Joshi M, Fusari G, Shepherd L, Darzi A, Leff D. Use of commercially available wearable devices for physical rehabilitation in healthcare: a systematic review. BMJ Open 2024;14(11):e084086 View
  19. Addoh O, Bombardier C, Rosenberg D. Optimizing Stroke Rehabilitation: An Evaluation of Accelerometry-Based Physical Activity Intensity Measurement. Current Physical Medicine and Rehabilitation Reports 2024;13(1) View