Title: Wireless ambulatory monitoring system with online periodical gait assessment

Authors: Darwin Gouwanda; S.M.N. Arosha Senanayake

Addresses: Monash University Sunway Campus, Jalan Lagoon Selatan, Bandar Sunway, 46150, Selangor Darul Ehsan, Malaysia ' Monash University Sunway Campus, Jalan Lagoon Selatan, Bandar Sunway, 46150, Selangor Darul Ehsan, Malaysia

Abstract: This paper presents a wireless gait-monitoring system which periodically examine human gait. It introduces two new methods. The first method is an algorithm that integrates the Multi-Resolution Wavelet Decomposition (MWD) with peak-valley detection algorithm to identify the occurrences of heel-strike and toe-off. The second method is the Coefficient of Determination (CoD). CoD provides a single-value indicator that defines gait normality. In the experimental study, abnormal gait is simulated by placing a load on one limb. Significant differences were found in the temporal parameters, and the orientation of the lower extremity (p < 0.01). These experiments demonstrated the capability of the system in periodically evaluating human gait.

Keywords: angular rate; real-time streaming; gyroscopes; gait analysis; wavelet transform; wireless ambulatory monitoring; abnormal gait; simulation; human gait.

DOI: 10.1504/IJBET.2012.046957

International Journal of Biomedical Engineering and Technology, 2012 Vol.8 No.4, pp.299 - 314

Published online: 12 Dec 2014 *

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