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 .
Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation

Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation

Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation

Journals

  1. 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
  2. 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
  3. 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