TY - GEN
T1 - Analysis of the effect of muscle fatigue on gait characteristics using data acquired by wearable sensors
AU - Balakrishnan, Aishwarya
AU - Medikonda, Jeevan
AU - Namboothiri, Pramod K.
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Parkinson's disease (PD) patients suffer from numerous gait-related disturbances. Various factors contribute to the alteration in gait patterns, among which muscle fatigue plays a significant role. Traditional gait analysis techniques involve laboratory types of equipment that are expensive and require specialized personnel or software tools for analysis. In this paper, a portable wireless data acquisition system embedded with a network of wearable sensors is proposed that can aid real-time gait signal acquisition in an unconstrained environment. Experiments have been carried out to demonstrate the effectiveness of the proposed system and to examine the effect of muscle fatigue in gait monitoring using mechanomyography techniques. Results show distinct variability in mean stride time and cadence with the influence of muscle fatigue.
AB - Parkinson's disease (PD) patients suffer from numerous gait-related disturbances. Various factors contribute to the alteration in gait patterns, among which muscle fatigue plays a significant role. Traditional gait analysis techniques involve laboratory types of equipment that are expensive and require specialized personnel or software tools for analysis. In this paper, a portable wireless data acquisition system embedded with a network of wearable sensors is proposed that can aid real-time gait signal acquisition in an unconstrained environment. Experiments have been carried out to demonstrate the effectiveness of the proposed system and to examine the effect of muscle fatigue in gait monitoring using mechanomyography techniques. Results show distinct variability in mean stride time and cadence with the influence of muscle fatigue.
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U2 - 10.1109/DISCOVER50404.2020.9278096
DO - 10.1109/DISCOVER50404.2020.9278096
M3 - Conference contribution
AN - SCOPUS:85099718389
T3 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
SP - 137
EP - 140
BT - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
Y2 - 30 October 2020 through 31 October 2020
ER -