Abstract
This paper concentrates on Electromyogram (EMG) signal processing with the emphasis on Neuropathies and Myopathies Disease. This review paper also will focus on the structure and learning algorithm of the classification techniques with potential of further expansion are identified for future research. This paper discussed more into depth on two algorithms which is Detrended Fluctuation Analysis for feature extraction and Support Vector Machine for classification.
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Tamil, E.M., Bashar, N.S., Idris, M.Y.I., Tamil, A.M. (2008). A Review on Feature Extraction & Classification Techniques for Biosignal Processing (Part III: Electromyogram). In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_33
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DOI: https://doi.org/10.1007/978-3-540-69139-6_33
Publisher Name: Springer, Berlin, Heidelberg
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