Open AccessEEG Signal Analyzing and Simulation Under Computerized Technological Support
Author(s) -
V. Rohith,
T V Prajitha,
Sadasivam Suresh
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.8.15215
Subject(s) - electroencephalography , pattern recognition (psychology) , artificial intelligence , computer science , feature extraction , signal (programming language) , signal processing , feature (linguistics) , wavelet , categorization , feature selection , wavelet transform , frequency domain , speech recognition , time domain , digital signal processing , computer vision , psychology , linguistics , philosophy , psychiatry , computer hardware , programming language
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.