Published on in Vol 7 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/57320, first published
.

Journals
- Nejadshamsi S, Karami V, Ghourchian N, Armanfard N, Bergman H, Grad R, Wilchesky M, Khanassov V, Vedel I, Abbasgholizadeh Rahimi S. Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study. JMIR Aging 2025;8:e67715 View
- Wen Y, Verma T, Whitehead J, Lee P. Empirical Validation of a Streamlined Three-Repetition Sit-to-Stand Protocol Using MAI Motion. Applied Sciences 2025;15(10):5688 View
- Zhang J, Ma Y, Zhang H, Chen Y, Yu J. Predicting older adults smart healthcare adoption using an extended TAM. Scientific Reports 2025;15(1) View
- Schoenfeld E, Trimboli T, Schwartz K, Ayisi-Boahene G, Bruckenthal P, Zadok E, Horwitz S, Ye F. Engaging Older Adults to Guide the Development of Passive Home Health Monitoring to Support Aging in Place. Sensors 2025;25(24):7413 View
Books/Policy Documents
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