DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-019-01590-6.pdf
Reference45 articles.
1. Phinyomark, A., Phukpattaranont, P., Limsakul, C.: Feature reduction and selection for EMG signal classification. Expert Syst. Appl. 39(8), 7420–7431 (2012)
2. Yousefi, J., Hamilton-Wright, A.: Characterizing EMG data using machine-learning tools. Comput. Biol. Med. 51, 1–13 (2014)
3. Preston, D.C., Shapiro, B.E.: Electromyography and Neuromuscular Disorders E-Book: Clinical-Electrophysiologic Correlations (Expert Consult-Online and Print), Elsevier Health Sciences (2012)
4. Naik, G.R., Selvan, S.E., Nguyen, H.T.: Single-channel EMG classification with ensemble-empirical-mode-decomposition-based ICA for diagnosing neuromuscular disorders. IEEE Trans. Neural Syst. Rehabil. Eng. 24(7), 734–743 (2015)
5. Subasi, A.: A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines. SIViP 9(2), 399–408 (2015)
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