Identification of EMG signals using discriminant analysis and SVM classifier

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 44-47

  Alkan, Ahmet ^a   Günay, Mücahid ^a  

^a KAHRAMANMARAS SUTCU IMAM UNIVERSITY   (Turkey)

Author keywords

Cross validation; Discriminant analysis; EMG; SVM

Indexed keywords

ABSOLUTE VALUES; ACCURACY RATE; ARM MOVEMENTS; BIOELECTRICAL SIGNALS; BIOMEDICAL SIGNAL; CLASSIFICATION ACCURACY; CLASSIFICATION ERROR RATE; CLASSIFICATION RATES; CLASSIFICATION SYSTEM; CLASSIFICATION TECHNIQUE; CROSS VALIDATION; EMG; EMG SIGNAL; FEATURE VECTORS; MUSCLE ACTIVITIES; NOISY ENVIRONMENT; PROSTHESIS CONTROL; SURFACE EMG; SVM; SVM CLASSIFIERS;

DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; PROSTHETICS; SUPPORT VECTOR MACHINES; VECTORS;

MUSCLE;

EID: 81855176016     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.06.043     Document Type: Article

References (18)

1. M.H. Asyali, D. Colak, O. Demirkaya, and M.S. Inan Gene expression profile classification: A review Current Bioinformatics 1 1 2006 55 73
2. M.H.J. Bollen, and I.Y.H. Gu Signal Processing of power quality disturbances 2006 Springer pp. 684-686
3. J. Cao, and D.B. Sanders Multivariate discriminant analysis of the electromyographic interference pattern: statistical approach to discrimination among controls, myopathies and neuropathies Medical and Biological Engineering and Computing 34 5 1996 369 374
4. Choi, C.; & Kim, J. (2007). A Real-time EMG-based Assistive Computer Interface for the Upper Limb Disabled. In Proceedings of the 2007 IEEE 10th International Conference on Rehabilitation Robotics, Noordwijk, The Netherlands.
5. Y.C. Dua, C.L. Hung, L.Y. Shyu, and T. Chen Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis Expert Systems with Applications 37 2010 4283 4291
6. K. Englehart, and B. Hudgins A robust, real-time control scheme for multifunction myoelectric control IEEE Transactions on Biomedical Engineering 50 2003 7
7. K. Englehart, B. Hudgins, and P.A. Parker A wavelet-based continuous classification scheme for multifunction myoelectric control IEEE Transactions On Biomedical Engineering 48 2001
8. X. Hu, and V. Nenov Multivariate AR modeling of electromyography for the classification of upper arm movements Clinical Neurophysiology 115 2004 1276 1287
9. Y. Kocyigit, and M. Korurek EMG signal classification using wavelet transform and fuzzy logic classifier ITU dergisi/d mühendislik 4 2005 3
10. D.K. Kumar, N. Ma, and P. Burton Classification of dynamic multi-channel electromyography by neural network Electromyography and Clinical Neurophysiology 41 7 2001 401 408
11. M.F. Lucas, A. Gaufriau, S. Pascual, C. Doncarli, and D. Farina Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization Biomedical Signal Processing and Control 3 2008 169 174
12. Ma, N.; Kumar, D.K.; & Pah, N. (2001). Classification of hand direction using multi-channel electromyography by neural network. In Seventh Australian and New Zealand Intelligent Information Systems Conference, Perth, Western Australia.
13. P.A. Parker, K. Englehart, and B. Hudgins The control of upper limb prostheses R. Merletti, P.A. Parker, Electromyography: Physiology engineering and non-invasive applications 2004 Wiley-IEEE Press
14. P.A. Parker, and R.N. Scott Myoelectric control of prostheses Critical Reviews in Biomedical Engineering 13 1986 283 310
15. H. Qian, Y. Mao, W. Xiang, and Z. Wang Recognition of human activities using SVM multi-class classifier Pattern Recognition Letters 31 2010 100 111
16. V. Tscharner Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution Journal of Electromyography and Kinesiology 10 2000 433 445
17. A. Wang, W. Yuan, J. Liu, Z. Yu, and H. Li A novel pattern recognition algorithm: Combining ART network with SVM to reconstruct a multi-class classifier Computers and Mathematics with Applications 57 2009 1908 1914
18. P. Wojtczak, T.G. Amaral, O.P. Dias, A. Wolczowski, and M. Kurzynski Hand movement recognition based on biosignal analysis Engineering Applications of Artificial Intelligence 22 2009 608 615