Spatiotemporal analysis of EMG signals for muscle rehabilitation monitoring system

Author

Sung Yoon Lee ; Kyung Hyun Koo ; Yong Lee ; Jong Hoon Lee ; Jae Hyo Kim

Author_Institution

Sch. of Mech. & Control Eng., Handong Global Univ., Pohang, South Korea

fYear

2013

fDate

1-4 Oct. 2013

Firstpage

1

Lastpage

2

Abstract

This study proposes spatiotemporal EMG signal analysis for muscle rehabilitation monitoring system. Through this monitoring system, users - both patient and therapist - can check one´s status: muscle intensity, muscle fatigue, exercise posture, speed and number of movement. We performed three remedial exercises - SLR, SLR(P), and LE - to analyze the EMG signal. In addition, exercises with inappropriate postures and various joint angles also carried out. As a result, clearly different EMG features were extracted for every condition.

Keywords

biomechanics; electromyography; fatigue; feature extraction; medical signal detection; medical signal processing; patient monitoring; patient rehabilitation; spatiotemporal phenomena; EMG feature extraction; electromyography; joint angles; movement speed; muscle fatigue; muscle intensity; muscle rehabilitation monitoring system; remedial exercise posture; spatiotemporal EMG signal analysis; Electromyography; Fatigue; Feature extraction; Knee; Monitoring; Muscles; Spatiotemporal phenomena; EMG; Monitoring system; Rehabilitaiton;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on

Conference_Location

Tokyo

Print_ISBN

978-1-4799-0890-5

Type

conf

DOI

10.1109/GCCE.2013.6664758

Filename

6664758