Citation

Dehzangi O, Zhao Z, Bidmeshki MM, Biggan J, Ray C, Jafari R. Proc Wirel Health 2013; 2013(ePub): ePub.

Affiliation

Electrical Engineering Department, University of Texas at Dallas 800 W Campbell Rd, Richardson, TX 75080.

Copyright

(Copyright © 2013)

DOI

10.1145/2534088.2534110

PMID

28224139

Abstract

Gait and postural control are important aspects of human movement and balance. Normal movement control in human is subject to change with aging. With aging, the nervous system comprising, somatosensory, visual senses, spatial orientation senses, and neuromuscular control degrade. As a result, the body movement control such as the lateral sway while walking is affected which has been shown to be a significant cause of falling among the elderly. Biofeedback has been investigated to assist elderly improve their body movement and postural ability, by supplementing the feedback to the nervous system. In this paper, we propose a wearable low-power sensor system capable of characterizing lateral sway and gait parameters. Then, it can provide corrective feedback to reduce excessive sway in real-time via vibratory feedback modules. Real-time and low-power characteristics along with wearability of our proposed system allow long-term continuous subjects' sway monitoring while giving direct feedback to enhance walking sway and prevent falling. It can also be used in the clinics as a tool for evaluating the risks of falls, and training users to better maintain their balance. The effectiveness of the biofeedback system was evaluated on 12 older adults as they performed gait and stance tasks with and without biofeedback. Significant improvement (p-value < 0.1) in sway angle in variance of the sway angle, variance of gait phases, and in postural control while on perturbed surface was detected when the proposed Sway Error Feedback System was used.

Language: en

Keywords

Biofeedback; Body movement; Design; Experimentation; Gait; Lateral sway; Measurement; Postural control; Sway monitoring; Verification