Published on in Vol 23, No 12 (2021): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30135, first published
.

Journals
- Napieralski J, Tylman W, Kotas R, Marciniak P, Kaminski M, Janc M, Jozefowicz-Korczynska M, Zamyslowska-Szmytke E. Classification of Subjects With Balance Disorders Using 1D-CNN and Inertial Sensors. IEEE Access 2022;10:127610 View
- Zhao Y, Yu L, Fan X, Pang M, Tsui K, Wang H. Design of a Sensor-Technology-Augmented Gait and Balance Monitoring System for Community-Dwelling Older Adults in Hong Kong: A Pilot Feasibility Study. Sensors 2023;23(18):8008 View
- Wang X, Cao J, Zhao Q, Chen M, Luo J, Wang H, Yu L, Tsui K, Zhao Y. Identifying sensors-based parameters associated with fall risk in community-dwelling older adults: an investigation and interpretation of discriminatory parameters. BMC Geriatrics 2024;24(1) View
- Sánchez-Sánchez M, Ruescas-Nicolau M, Arnal-Gómez A, Iosa M, Pérez-Alenda S, Cortés-Amador S. Validity of an android device for assessing mobility in people with chronic stroke and hemiparesis: a cross-sectional study. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
- Carneros-Prado D, González-Velázquez S, Dobrescu C, González I, Fontecha J, Hervás R. Automation of observational gait assessment through an optical 3D motion system and transformers. Applied Intelligence 2025;55(4) View
- Jia Yi T, Ripin Z, Ridzwan M, Razali M, Ying Heng Y, Jaafar N, Wai Teng A, Binti Ahmad Yusof H, Hanafi M. Development and validation of an automated Trunk Impairment Scale 2.0 scoring system using rule-based classification. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2025;239(2):212 View