Classification of EMG Signals Using ANFIS for the Detection of Neuromuscular Disorders
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Prasant Mohanty | Sakuntala Mahapatra | Santanu Kumar Nayak | Debasis Mohanta | P. Mohanty | S. K. Nayak | Debasis Mohanta | Sakuntala Mahapatra
[1] Zhu Xizhi,et al. Study of Surface Electromyography Signal Based on Wavelet Transform and Radial Basis Function Neural Network , 2008, 2008 International Seminar on Future BioMedical Information Engineering.
[2] Samrat L. Sabat,et al. Neuro fuzzy model for adaptive filtering of oscillatory signals , 2001 .
[3] M. Sangworasil,et al. Comparison Study of Muscular-Contraction Classification Between Independent Component Analysis and Artificial Neural Network , 2008, 2008 International Symposium on Communications and Information Technologies.
[4] Chuen-Tsai Sun,et al. Neuro-fuzzy modeling and control , 1995, Proc. IEEE.
[5] Jeffrey Winslow,et al. Automatic Identification and Classification of Muscle Spasms in Long-Term EMG Recordings , 2015, IEEE Journal of Biomedical and Health Informatics.
[6] Mustafa Yilmaz,et al. Classification of EMG signals using wavelet neural network , 2006, Journal of Neuroscience Methods.
[7] Yasue Mitsukura,et al. Recognition of EMG Signal Patterns by Neural Networks , 2003, KES.
[8] Tokunbo Ogunfunmi,et al. Analysis of Convergence of a Frequency-Domain LMS Adaptive Filter Implemented as a Multi-Stage Adaptive Filter , 2009, J. Signal Process. Syst..
[9] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[10] J. Pauk. 419. Different techniques for EMG signal processing , 2008 .
[11] Sakuntala Mahapatra,et al. Induction Motor Control Using PSO-ANFIS☆ , 2015 .
[12] Zhaojie Ju,et al. Surface EMG Based Hand Manipulation Identification Via Nonlinear Feature Extraction and Classification , 2013, IEEE Sensors Journal.