Surface Electromyography in Biceps Brachii Fatigue Detection: Machine  Learning Perspectives and Dimensionality Reduction Strategies

Thaneshwar Kumar Sahu, Dr. Pankaj Kumar Mishra and Dr. Saurabh Gupta

Surface Electromyography in Biceps Brachii Fatigue Detection: Machine Learning Perspectives and Dimensionality Reduction Strategies

Authors

Thaneshwar Kumar Sahu, Dr. Pankaj Kumar Mishra and Dr. Saurabh Gupta

Keywords:

Surface Electromyography (sEMG), Muscle Fatigue, Signal Processing, Feature Extraction, Time–Frequency Analysis, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Machine Learning, Support Vector Machine (SVM), Deep Learning, Rehabilitation, Ergonomics, and Sports Science.

Abstract

Surface electromyography (sEMG) is a non-invasive technique widely used to monitor muscle
activity and fatigue

References

. Raez, M. B. I., Hussain, M. S., & Mohd-Yasin, F. (2006). Techniques of EMG signal analysis

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Published

2024-02-20

How to Cite

Thaneshwar Kumar Sahu, Dr. Pankaj Kumar Mishra and Dr. Saurabh Gupta. (2024). Surface Electromyography in Biceps Brachii Fatigue Detection: Machine Learning Perspectives and Dimensionality Reduction Strategies. Journal of Computational Analysis and Applications (JoCAAA), 33(2), 2036–2063. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4123