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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
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