Open AccessMethods for the Analysis of EEG signals: A Review
Author(s) -
Malika Garg
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38072
Subject(s) - electroencephalography , signal processing , computer science , feature extraction , pattern recognition (psychology) , signal (programming language) , artificial intelligence , feature (linguistics) , speech recognition , psychology , neuroscience , digital signal processing , linguistics , philosophy , computer hardware , programming language
Electroencephalography (EEG) helps to predict the state of the brain. It tells about the electrical activity going on in the brain. Difference of the surface potential evolved from various activities get recorded as EEG. The analysis of these EEG signals is of utmost importance to solve the problems related to the brain. Signal pre-processing, feature extraction and classification are the main steps of the EEG signal analysis. In this article we discussed various processing techniques of EEG signals. Keywords: EEG, analysis, signal processing, feature extraction, classification