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A.K.M.
Fazlul Haque*, Md. Habibullah Pappu, Kabir Hossain Tutul, Mahim Bin Firoz, Syed
Nazmus Sakib
Department of Electronics and
Telecommunication Engineering, Daffodil International University
*Corresponding
author: A.K.M.
Fazlul Haque, Department of Electronics and Telecommunication Engineering,
Daffodil International University, Email: akmfhaque@daffodilvarsity.edu.bd
Citation: A.K.M. Fazlul Haque (2020)
Wavelet Based EEG Signal Analysis for Detection of Small Abnormalities. Sci
World J Biomed Res Rev, 2(2);1-6
Copyright: © 2020, A.K.M. Fazlul Haque, et
al., This is an open-access article distributed under the terms of the Creative
Commons Attribution 4.0 International License, which permits unrestricted use,
distribution and reproduction in any medium, provided the original author and
source are credited.
ABSTRACT
This paper correspond to Wavelet
based Electroencephalogram (EEG) signal analysis to become aware of small
abnormalities to endure any emergency medical application. The EEG is a very
decisive and effectual tool for brain monitoring system. This work aspires to
be evidence for an improved and more effective way of monitoring the brain and
its disruptions. It also provides an enormous opportunity to analyze the brain
signal more intensely considering the different environments. As the current
analyzing technologies are not sufficient enough to deal with the sudden
abnormalities or even very small abnormalities, the proposed method offers an
effective way of analyzing the data more precisely. Because of the availability
of statistical information of the EEG data, extracting various statistical
parameters along with the other processing techniques including filtering, the
proposed method can monitor the brain as well as detect the smallest possible
abnormalities even in the harsh conditions in a more accurate and operative
way.
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