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EEG signal analyzing and simulation under computerized technological support

Publication Type : Journal Article

Publisher : International Journal of Engineering and Technology(UAE)

Source : International Journal of Engineering and Technology(UAE), Volume 7, Issue 3, 2018, Pages 38-41

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049753639&doi=10.14419%2fijet.v7i3.8.15215&partnerID=40&md5=cd132755806d79c77362504c1ee98295

Keywords : DWT (discrete wavelet transform), EEG (Electroencephalogram), WT (Wavelet transform)

Campus : Mysuru

School : School of Arts and Sciences

Department : Computer Science

Year : 2018

Abstract : Electroencephalogram (EEG) is a method for acquiring the brain signals for diagnostic purposes. It tracks and records the brain wave patterns. This is a non-invasive technique. The idea behind is to categorize the EEG signal based on the frequency range. The steps include collecting EEG signals, pre-processing, feature extraction, feature selection and classification. The pre-processing eliminates the noises from the signal. EEG signal can be disintegrated by using discrete wavelet transform. The feature extraction methods are used to obtain the time-domain features of the EEG signal. Finally, the classification method determines the variations in the mental state of the person. © 2018 Authors.

Cite this Research Publication : Rohith, V., Prajitha, T.V., Suresh, S., "EEG signal analyzing and simulation under computerized technological support," International Journal of Engineering and Technology(UAE), Volume 7, Issue 3, Pages 38-41, 2018

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