Classification of EMG signals using wavelet neural network
暂无分享,去创建一个
Mustafa Yilmaz | Abdulhamit Subasi | Hasan Riza Ozcalik | H. R. Ozcalik | A. Subasi | Mustafa Yilmaz
[1] Kwok-Wo Wong,et al. On-line Successive Synthesis of Wavelet Networks , 1998, Neural Processing Letters.
[2] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[3] Abdulhamit Subasi,et al. Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing , 2005, Neural Networks.
[4] N. Thakor,et al. Spectral analysis methods for neurological signals , 1998, Journal of Neuroscience Methods.
[5] Abdulhamit Subasi,et al. Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection , 2006, Comput. Biol. Medicine.
[6] J Pardey,et al. A review of parametric modelling techniques for EEG analysis. , 1996, Medical engineering & physics.
[7] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[8] N. Malmurugan,et al. Neural classification of lung sounds using wavelet coefficients , 2004, Comput. Biol. Medicine.
[9] H. Akaike. A new look at the statistical model identification , 1974 .
[10] K Kunze,et al. Frequency analysis and duration of motor unit potentials: reliability and diagnostic usefulness. , 1993, Electroencephalography and clinical neurophysiology.
[11] C S Pattichis,et al. Learning systems in biosignal analysis. , 1997, Bio Systems.
[12] Roberto Kawakami Harrop Galvão,et al. Linear-wavelet networks , 2004 .
[13] M.H. Hassoun,et al. NNERVE: Neural Network Extraction of Repetitive Vectors for Electromyography. I. Algorithm , 1994, IEEE Transactions on Biomedical Engineering.
[14] Abdulhamit Subasi,et al. Classification of EEG signals using neural network and logistic regression , 2005, Comput. Methods Programs Biomed..
[15] Lucila Ohno-Machado,et al. Logistic regression and artificial neural network classification models: a methodology review , 2002, J. Biomed. Informatics.
[16] Qinghua Zhang,et al. Wavelet networks , 1992, IEEE Trans. Neural Networks.
[17] Constantinos S. Pattichis,et al. Neural network models in EMG diagnosis , 1995 .
[18] Abdulhamit Subasi,et al. Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients , 2005, Expert Syst. Appl..
[19] I A Basheer,et al. Artificial neural networks: fundamentals, computing, design, and application. , 2000, Journal of microbiological methods.
[20] Gérard Dreyfus,et al. Initialization by selection for wavelet network training , 2000, Neurocomputing.
[21] Daniel W. C. Ho,et al. A basis selection algorithm for wavelet neural networks , 2002, Neurocomputing.
[22] M.H. Hassoun,et al. NNERVE: Neural Network Extraction of Repetitive Vectors for Electromyography. II. Performance analysis , 1994, IEEE Transactions on Biomedical Engineering.
[23] Yagyensh C. Pati,et al. Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations , 1993, IEEE Trans. Neural Networks.
[24] S. Tseng,et al. Evaluation of parametric methods in EEG signal analysis. , 1995, Medical engineering & physics.
[25] Jay A. Farrell,et al. Wavelet-based system identification for nonlinear control , 1999, IEEE Trans. Autom. Control..
[26] Ahmet Alkan,et al. Automatic seizure detection in EEG using logistic regression and artificial neural network , 2005, Journal of Neuroscience Methods.
[27] C.S. Pattichis,et al. Time-scale analysis of motor unit action potentials , 1999, IEEE Transactions on Biomedical Engineering.
[28] John G. Proakis,et al. Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .
[29] S. Andreassen,et al. Quantitative Analysis of Individual Motor Unit Potentials: A Proposition for Standardized Terminology and Criteria for Measurement , 1986, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[30] John G. Proakis,et al. Digital signal processing (3rd ed.): principles, algorithms, and applications , 1996 .
[31] Qinghua Zhang,et al. Using wavelet network in nonparametric estimation , 1997, IEEE Trans. Neural Networks.
[32] Jun Zhang,et al. Wavelet neural networks for function learning , 1995, IEEE Trans. Signal Process..
[33] Laurene V. Fausett,et al. Fundamentals Of Neural Networks , 1994 .
[34] G Pfurtscheller,et al. Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[35] A. Wennberg,et al. Computer analysis of EEG signals with parametric models , 1981, Proceedings of the IEEE.
[36] C.I. Christodoulou,et al. Unsupervised pattern recognition for the classification of EMG signals , 1999, IEEE Transactions on Biomedical Engineering.
[37] Elif Derya Übeyli,et al. Application of classical and model-based spectral methods to ophthalmic arterial Doppler signals with uveitis disease , 2003, Comput. Biol. Medicine.
[38] C. Pattichis,et al. Autoregressive and cepstral analyses of motor unit action potentials. , 1999, Medical engineering & physics.
[39] S.M. Kay,et al. Spectrum analysis—A modern perspective , 1981, Proceedings of the IEEE.
[40] Inan Güler,et al. AR spectral analysis of EEG signals by using maximum likelihood estimation , 2001, Comput. Biol. Medicine.
[41] Gérard Dreyfus,et al. Training wavelet networks for nonlinear dynamic input-output modeling , 1998, Neurocomputing.
[42] G. H. Loudon,et al. New signal processing techniques for the decomposition of EMG signals , 1992, Medical and Biological Engineering and Computing.
[43] Stefano Sello,et al. Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson's disease: a wavelet approach. , 2003, Medical engineering & physics.