A Prediction Approach for Multichannel EEG Signals Modeling Using Local Wavelet SVM

Accurate modeling of the multichannel electroencephalogram (EEG) signal is an important issue in clinical practice. In this paper, we propose a new local spatiotemporal prediction method based on support vector machines (SVMs). Combining with the local prediction method, the sequential minimal optim...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2010-05, Vol.59 (5), p.1485-1492
Hauptverfasser:	Minfen Shen, Lanxin Lin, Jialiang Chen, Chang, C.Q.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation algorithms Brain modeling Electroencephalogram (EEG) signal Electroencephalography local prediction method Optimization methods Prediction methods Predictive models Signal processing Signal processing algorithms Spatiotemporal phenomena support vector machine (SVM) Support vector machines wavelet kernel
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