Assessment muscle fatigue using statistical study and classification: A review
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 ar...
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Published in | 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE) pp. 206 - 211 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2015
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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DOI: | 10.1109/ICCSCE.2015.7482185 |