A Low-Cost, Open Source Wireless Body Area Network for Clinical Gait Rehabilitation

被引：0

作者：

Twiddy, Jack ^{[1
,2
]}

Peterson, Kaila ^{[3
]}

Maddocks, Grace ^{[3
]}

MacPherson, Ryan ^{[4
]}

Pimentel, Ricky ^{[1
,2
]}

Yates, Max ^{[3
]}

Armitano-Lago, Cortney ^{[4
]}

Kiefer, Adam ^{[4
]}

Pietrosimone, Brian ^{[4
]}

Franz, Jason ^{[1
,2
]}

Daniele, Michael ^{[1
,2
,3
]}

机构：

[1] NC State Univ, Joint Dept Biomed Engn, Raleigh, NC USA

[2] Univ N Carolina, Chapel Hill, NC USA

[3] NC State Univ, Dept Elect & Comp Engn, Raleigh, NC USA

[4] Univ N Carolina, Dept Exercise & Sport Sci, Chapel Hill, NC 27599 USA

来源：

2022 IEEE SENSORS | 2022年

基金：

美国国家科学基金会;

关键词：

wearable; wireless body area network; inertial measurement unit; gait rehabilitation; biomechanics; vertical; ground reaction force; BIOMECHANICS;

D O I：

10.1109/SENSORS52175.2022.9967362

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wearable inertial sensors represent an opportunity to enable gait monitoring and feedback- based rehabilitation in real-world environments. Here, we describe the development of an inexpensive IMU-based wireless body area network capable of recording 9-axis motion data from 8 sites on the body simultaneously. This system can generate data comparable to existing commercial sensor networks and can distinguish varying loading conditions observed during realtime biofeedback-based human subject testing.

引用

页数：4

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