Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders-Reference-Cited by-同舟云学术

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Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders

Published:2010-05-21 Issue:8 Volume:48 Page:773-781
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Istenič Rok,Kaplanis Prodromos A.,Pattichis Constantinos S.,Zazula Damjan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-010-0629-7.pdf

Reference40 articles.

1. Anand N, Chad D (2007) Electrophysiology of myopathy. In: Blum AS, Rutkove SB (eds) The clinical neurophysiology primer. Humana Press, New Jersey, pp 325–352

2. Christodoulou CI, Pattichis CS (1999) Unsupervided pattern recognition for the classification of EMG signals. IEEE Trans Biomed Eng 46:169–178

3. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273–297

4. Costa M, Goldberger AL, Peng CK (2005) Multiscale entropy analysis of biological signals. Phys Rev E 71(2):021906

5. De Michele G, Sello S, Carboncini MC, Rossi B, Strambi SK (2003) Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson’s disease: a wavelet approach. Med Eng Phys 25:361–369

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