EEG Signal Analysis for Epileptic Seizure Detection Using Soft Computing Techniques

نویسندگان

  • B. Suguna Nanthini
  • B. Santhi
چکیده

Seizure activity takes place due to an irregular excessive electrical action in the human brain. The electrical activity in the form of brain waves (signals) can measured by using the device called Electroencephalogram (EEG). In this paper, we have reviewed our work so far made regarding EEG signals. Comparative between Artificial Neural Network (ANN) and Support Vector Machine (SVM) this review has shown that SVM is the successful classifier to classify the normal and abnormal EEG signals. Moreover, this paper emphasizes the application of wavelet decomposition and feature extraction for EEG signal analysis. The main objective of this study is to analyze EEG signal for epileptic seizure detection.

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تاریخ انتشار 2014