Title :
Non-invasive techniques to assess muscle fatigue using biosensors: A review
Author :
Sarillee, Mohamed ; Hariharan, M. ; Anas, Mohamad Nuzli ; Omar, M.I. ; Aishah, M.N. ; Oung, Q.W.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
Abstract :
Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the muscle, which is a useful parameter to detect muscle fatigue. This review discusses the on existing myogram and various signal processing methods and techniques that have been applied. Towards the end of the paper, challenges and future trends are discussed.
Keywords :
bioacoustics; biomechanics; electromyography; fatigue; medical signal processing; AMG; EMG; MMG; acoustic myogram; biosensors; daily activity; electromyography; mechanical activity; mechanomyogram; muscle condition; muscle fatigue detection; noninvasive techniques; signal processing methods; signal processing techniques; Acoustics; Electromyography; Fatigue; Feature extraction; Force; Muscles; Time-frequency analysis; AMG; EMG; MMG; Muscle fatigue;
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-5691-3
DOI :
10.1109/ICSGRC.2014.6908719
