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Research Article
Performance Assessment of EMG Pattern Recognition Techniques While Growing the Number of Movement Classes
S.Amaresh1
M. Anand Jatti2
1,2 Assistant Professor, Brindavan College of Engineering, Karnataka, India
Published Online: March-April 2021
Pages: 09-13
Cite this article
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[1]. Parajuli, N., Sreenivasan, N., Bifulco, P., Cesarelli, M., Savino, S., Niola, V., et al. (2019). Real-Time EMG Based Pattern
Recognition Control for Hand Prosthesis: A Review on Exiting Challenges and Future Implementation. MDPI , 8-11.
[2]. Sundarsan, S., & Sekaran, D. E. (2012). Design and Development of EMG Controlled Prosthetics Limb. Elevier Ltd. , 3547-3549.
[3]. Nazmi, N., Rahman, M. A., Yamamoto, S. I., Ahmad, S. A., Zamzuri, H., & Mazlan, S. A. (2016). A Review of Classification
Techniques of EMG Signal during Isotonic and Isometric Contractions. MDPI , 8
Recognition Control for Hand Prosthesis: A Review on Exiting Challenges and Future Implementation. MDPI , 8-11.
[2]. Sundarsan, S., & Sekaran, D. E. (2012). Design and Development of EMG Controlled Prosthetics Limb. Elevier Ltd. , 3547-3549.
[3]. Nazmi, N., Rahman, M. A., Yamamoto, S. I., Ahmad, S. A., Zamzuri, H., & Mazlan, S. A. (2016). A Review of Classification
Techniques of EMG Signal during Isotonic and Isometric Contractions. MDPI , 8
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