A gait retraining feedback system based on wearable sensors

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 progress...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) pp. 1029 - 1034
Main Authors Zexia He, Yang Shen, Tao Liu, Jingang Yi, Ferreira, Joao Paulo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Foot
Knee
Legged locomotion
Osteoarthritis
Real-time systems
Training
Wearable sensors
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:1509059989
9781509059980
ISSN:2159-6255
DOI:10.1109/AIM.2017.8014154