Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/52312, first published
.

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- 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
- 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 2025:1 View
- 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
- 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
- Ferreira A, Inoue A, Barbosa R, Hayek C, Reis M, Alcântara J, Hirao A, Santos M. Validity of Galaxy Watch for Estimating Energy Expenditure During Intermittent Running (Preprint). JMIR Formative Research 2025 View
