DWT Based Detection of Epileptic Seizure From EEG Signals Using Naive Bayes and k-NN Classifiers

• Published in: IEEE access Vol. 4; pp. 7716 - 7727
• Main Authors: Sharmila, A., Geethanjali, P.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bayes methods; Brain models; Classifiers; Convulsions & seizures; Discrete Wavelet Transform; discrete wavelet transform (DWT); Discrete wavelet transforms; Electroencephalograms (EEG); Electroencephalography; Epilepsy; Feature extraction; k-nearest neighbor (k-NN); naïve Bayes (NB); Physiology; Seizures; Wavelet analysis; Wavelet transforms

Electroencephalogram (EEG) comprises valuable details related to the different physiological state of the brain. In this paper, a framework is offered for detecting the epileptic seizures from EEG data recorded from normal subjects and epileptic patients. This framework is based on a discrete wavele...