A Gait Retraining Feedback System Based on Wearable Sensors

被引：0

作者：

He, Zexia ^{[1
]}

Shen, Yang ^{[1
]}

Liu, Tao ^{[1
]}

Yi, Jingang ^{[2
]}

Ferreira, Jodo Paulo ^{[3
]}

机构：

[1] Zhejiang Univ, Coll Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China

[2] Rutgers State Univ, Dept Mech & Aerosp Engn, Piscataway, NJ 08854 USA

[3] Univ Coimbra, Dept Elect & Comp Engn, P-3030290 Coimbra, Portugal

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM) | 2017年

关键词：

KNEE ADDUCTION MOMENT; OSTEOARTHRITIS;

D O I：

暂无

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：

The purpose of this study is to develop a gait retraining feedback system based on wearable sensors for the gait training and the recovery of knee osteoarthritis patients. The system is mainly composed of one motion sensor, six plantar pressure sensors, vibrator and upper computer. The foot progression angle of subject measured by the motion sensor was transmitted to a upper computer through a WIFI module. The judgment for foot progression angle by PC was then sent to the motion sensor for the feedback of gait retraining by a vibrator. In order to validate the training effect of the system, walking experiments of simulated patients was conducted. The results show that the gait retraining system can have a effective influence on the gait in real time and can be used to train the walking gait to reduce the knee adduction moment.

引用

页码：1029 / 1034

页数：6

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