Title :
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
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;
Conference_Titel :
Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-0890-5
DOI :
10.1109/GCCE.2013.6664758
