Research Article
Elementary Time Frequency Analysis of EEG Signal Processing
@ARTICLE{10.4108/eai.13-7-2018.155081, author={Parag Puranik and Dr. R. V. Kshirsagar and Sagar Motdhare}, title={Elementary Time Frequency Analysis of EEG Signal Processing}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={4}, number={14}, publisher={EAI}, journal_a={PHAT}, year={2018}, month={7}, keywords={EEG, Morlett Window, Wavelets, montages, Wavelet Transforms}, doi={10.4108/eai.13-7-2018.155081} }- Parag Puranik
Dr. R. V. Kshirsagar
Sagar Motdhare
Year: 2018
Elementary Time Frequency Analysis of EEG Signal Processing
PHAT
EAI
DOI: 10.4108/eai.13-7-2018.155081
Abstract
EEG analysis is used as a tool for medical diagnosis of various diseases related to brain like epilepsy, dementia, brain disorders like stress etc. To identify such neural disorders it is essential to process these signal because of the nonstationary behavior. The time frequency analysis of EEG signals provide the correct visualization of EEG signals to extract the various rhythms of frequencies like alpha, beta, gamma waves. The Wavelet transform is used to carry out the time frequency analysis of EEG signal. Wavelets are used to analyze the EEG signals correctly. Their applications include seizure analysis, modeling of neuron potentials etc. To perform these applications it is necessary to perform the mathematical operations on EEG signal by windowing, filtering and then finally reconstruction.
Copyright © 2018 Parag Puranik et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.