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

Formative Evaluation of Digital Health Interventions (4967) Wearable Devices and Sensors (1537) Emerging Technologies for Rehabilitation (491) Fitness Trackers and Smart Pedometers/Accelerometers (781) mHealth for Rehabilitation (547) Innovations and Technology for Physical Activity Education (1054)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52312, first published .
Person in wheelchair wearing two smartwatches on their wrist.

Accuracy of the Apple Watch Series 4 and Fitbit Versa for Assessing Energy Expenditure and Heart Rate of Wheelchair Users During Treadmill Wheelchair Propulsion: Cross-sectional Study

Accuracy of the Apple Watch Series 4 and Fitbit Versa for Assessing Energy Expenditure and Heart Rate of Wheelchair Users During Treadmill Wheelchair Propulsion: Cross-sectional Study

Authors of this article:

Marius Lyng Danielsson1 Author Orcid Image ;   Melanie Vergeer1, 2 Author Orcid Image ;   Guy Plasqui2 Author Orcid Image ;   Julia Kathrin Baumgart1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Sankaran S, Banerjee R. Smartwatch Biometrics in the Electronic Medical Record: Time for a New Vital Sign?. JCO Clinical Cancer Informatics 2024;(8) View
  2. Martinez J, Haubert L, Eberly V, Weiss W, Rankin J. A randomized comparative effectiveness trial to evaluate two programs for promotion of physical activity after spinal cord injury in manual wheelchair users. Frontiers in Sports and Active Living 2025;7 View
  3. Doshmanziari R, Strand Aandahl H, Pettersen Reierstad H, Lyng Danielsson M, Kathrin Baumgart J, Varagnolo D. Data-Driven Techniques for Estimating Energy Expenditure in Wheelchair Users. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2025;33:739 View
  4. Oliveira J, Almeida R, de Lucena E, Tessutti V, Silva E, Uchida M. Innovative health monitoring for wheelchair users: A scoping review of smartwatch applications. Assistive Technology 2026;38(2):77 View
  5. Khan N, Deshpande N, Singh P, Kadam P. A review of AI-based health prediction using apple watch and fitbit data. Discover Applied Sciences 2025;7(10) View
  6. TEDESCHI R, GIORGI F, RICCI V, VITA F, DONATI D. Wearable technology in rehabilitation: assessing the impact of the Apple watch on physical activity and cardiovascular health: a scoping review. The Journal of Sports Medicine and Physical Fitness 2025;65(12) View
  7. Ferreira A, Inoue A, Barbosa R, Hayek C, Reis M, Alcântara J, Shigueoka A, dos Santos M. Validity of Galaxy Watch for Estimating Energy Expenditure During Intermittent Running: Cross-Sectional Study. JMIR Formative Research 2026;10:e83090 View
  8. Yamakita M, Ando D, Sato M, Akiyama Y, Yamaguchi K, Yamagata Z. Validity and Wear Compliance of Wrist-Worn Consumer Activity Trackers Among Japanese School-Aged Children Under Free-Living Conditions. Children 2026;13(2):184 View
  9. Konzo M, Narita M, Naito M, Ide A, Kai T, Wakabayashi D, Fujita W, Shibata T, Okada Y. Endurance and Efficiency of Cycling and Manual Wheelchairs in Late-Stage Parkinson’s Disease: A Preliminary Study. Journal of Movement Disorders 2026;19(2):203 View
  10. Schipper R, Oumar Djibrillah F, Roosink M, Winkens L, John A, Hazebroek E, Witteveen A, Berendsen A. The representation of different populations in studies assessing the validity of consumer wearable PPG-based measurements: scoping review (Preprint). JMIR mHealth and uHealth 2025 View
  11. Celada-Guerrero J, Rubio-Gordón L, Jiménez-Perez Y, López-Lora L, López-González A, Delbuono S, Huertas A, Martínez-Urbistondo D, Ordovás J, de la O V, Daimiel L. Time-restricted eating versus calorie restriction for improving biomarkers of age in adults with overweight or obesity and incipient fatty liver disease: protocol for the ENSATI randomized controlled parallel groups trial. Frontiers in Endocrinology 2026;17 View