Journal of Biomedical Science and Engineering

Volume 4, Issue 1 (January 2011)

ISSN Print: 1937-6871   ISSN Online: 1937-688X

Google-based Impact Factor: 1.68  Citations  

Comparison of SVM and ANN for classification of eye events in EEG

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DOI: 10.4236/jbise.2011.41008    7,430 Downloads   16,021 Views  Citations

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ABSTRACT

The eye events (eye blink, eyes close and eyes open) are usually considered as biological artifacts in the electroencephalographic (EEG) signal. One can con-trol his or her eye blink by proper training and hence can be used as a control signal in Brain Computer Interface (BCI) applications. Support vector ma-chines (SVM) in recent years proved to be the best classification tool. A comparison of SVM with the Artificial Neural Network (ANN) always provides fruitful results. A one-against-all SVM and a multi-layer ANN is trained to detect the eye events. A com-parison of both is made in this paper.

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Singla, R. , Chambayil, B. , Khosla, A. and Santosh, J. (2011) Comparison of SVM and ANN for classification of eye events in EEG. Journal of Biomedical Science and Engineering, 4, 62-69. doi: 10.4236/jbise.2011.41008.

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