Title :
Assessment muscle fatigue using statistical study and classification: A review
Author :
Mohamed Sarillee;M. Hariharan;M.N. Anas;M.I Omar;M.N. Aishah;Q.W. Oung
Author_Institution :
Biomedical Electronic Engineering, School of Mechatronic Engineering, Universiti Malaysia Perlis, Campus Pauh Putra, 02600 Arau, Malaysia
Abstract :
Muscle fatigue is very common muscle condition has been experienced. Different types of myograms have been used to assess muscle fatigue and there are Electromyogram, Mechanomyogram and Acoustic myogram. Each myogram has its own advantages in assessing muscle fatigue. Therefore, suitable features are needed to assess muscle fatigue. This review discusses the on statistical analysis and classification result of the myograms features that have been applied. Towards the end of the paper, challenges and future trends are discussed.
Keywords :
"Muscles","Fatigue","Electromyography","Sociology","Statistics","Indexes","Force"
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2015 IEEE International Conference on
DOI :
10.1109/ICCSCE.2015.7482185