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Manolakis, D.G., Ingle, V.K. and Kogon, S.M. (2005) Statistical and adaptive signal processing: Spectral estimation, signal modeling, adaptive filtering and array processing. Artech House Publishers, London.

has been cited by the following article:

• TITLE: Comparison of SVM and ANN for classification of eye events in EEG

  AUTHORS: Rajesh Singla, Brijil Chambayil, Arun Khosla, Jayashree Santosh

  KEYWORDS: ANN; BCI; EEG; Eye Event; Kurtosis; SVM

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.4 No.1, January 30, 2011

  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.