Machine Learning Algorithms for Characterization of EMG Signals

Authors

  • Bekir Karlık, Member, IACSIT Author

Keywords:

Machine learning, characterization, EMG signal, prosthesis.

Abstract

In the last decades, the researchers of the human 
arm prosthesis are using different types of machine learning 
algorithms. This review article firstly gives a brief explanation 
about type of machine learning methods. Secondly, some recent 
applications of myoelectric control of human arm prosthesis by 
using machine learning algorithms are compared. This study 
presents two different comparisons based on feature extraction 
methods which are time series modeling and wavelet transform 
of EMG signal. Finally, of characterization of EMG for of 
human arm prosthesis have been and discussed.

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Published

07.05.2014

How to Cite

Machine Learning Algorithms for Characterization of EMG Signals . (2014). International Journal of Information and Electronics Engineering, 4(3), 189-194. https://www.ijiee.org/index.php/ijiee/article/view/566