TY - GEN
T1 - A Piezoelectric Flexible Insole System for Gait Monitoring for the Internet of Health Things
AU - Chen, Junliang
AU - Dai, Yanning
AU - Gao, Shuo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/16
Y1 - 2020/8/16
N2 - Gait analysis is important in the field of healthcare, due to its close relationship to chronic diseases. With the development of the Internet of Health Things (IoHT), long-term gait monitoring and corresponding analysis can be performed remotely, reducing a patient's time and traffic cost, while providing doctors more valuable gait information. In this paper, we present a piezoelectric insole gait monitoring system and its use in an IoHT architecture. Through the experimental results, the high detection sensitivity of 54 mN and responsivity of 163 mV/N are achieved, thereby satisfying the need for analyzing various diseases. Furthermore, the assembled system can continuously work for 16 hours, indicating its successful utilization when long-term gait monitoring is required. The presented work provides a feasible means for real-time, long-term, and accurate gait monitoring, prompting the development of gait analysis in the IoHT.
AB - Gait analysis is important in the field of healthcare, due to its close relationship to chronic diseases. With the development of the Internet of Health Things (IoHT), long-term gait monitoring and corresponding analysis can be performed remotely, reducing a patient's time and traffic cost, while providing doctors more valuable gait information. In this paper, we present a piezoelectric insole gait monitoring system and its use in an IoHT architecture. Through the experimental results, the high detection sensitivity of 54 mN and responsivity of 163 mV/N are achieved, thereby satisfying the need for analyzing various diseases. Furthermore, the assembled system can continuously work for 16 hours, indicating its successful utilization when long-term gait monitoring is required. The presented work provides a feasible means for real-time, long-term, and accurate gait monitoring, prompting the development of gait analysis in the IoHT.
KW - Internet of Health Things
KW - Piezoelectric force sensing
KW - flexible insole device
KW - gait monitoring
UR - https://www.scopus.com/pages/publications/85091125929
U2 - 10.1109/FLEPS49123.2020.9239591
DO - 10.1109/FLEPS49123.2020.9239591
M3 - 会议稿件
AN - SCOPUS:85091125929
T3 - FLEPS 2020 - IEEE International Conference on Flexible and Printable Sensors and Systems
BT - FLEPS 2020 - IEEE International Conference on Flexible and Printable Sensors and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2020
Y2 - 16 August 2020 through 19 August 2020
ER -