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Detection of Brain Diseases using EEG and Speech Signal
by
Akshata S. Agarwal,
Kishori S. Degaonkar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 9 |
| Year of Publication: 2016 |
| Authors: Akshata S. Agarwal, Kishori S. Degaonkar |
10.5120/ijca2016911415
|
Akshata S. Agarwal, Kishori S. Degaonkar . Detection of Brain Diseases using EEG and Speech Signal. International Journal of Computer Applications. 149, 9 ( Sep 2016), 1-5. DOI=10.5120/ijca2016911415
@article{
10.5120/ijca2016911415,
author = {
Akshata S. Agarwal,
Kishori S. Degaonkar
},
title = { Detection of Brain Diseases using EEG and Speech Signal },
journal = {
International Journal of Computer Applications
},
issue_date = { Sep 2016 },
volume = { 149 },
number = { 9 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = {
1-5
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume149/number9/26022-2016911415/
},
doi = { 10.5120/ijca2016911415 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:15.829623+05:30
%A Akshata S. Agarwal
%A Kishori S. Degaonkar
%T Detection of Brain Diseases using EEG and Speech Signal
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 9
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Parkinson’s disease (PD) and Alzheimer’s diseases are the most common brain diseases. Parkinson’s disease (PD) occurs when the neurons that produce dopamine in the brain are damaged. People aged 50 or above mostly suffer from Parkinson’s disease. PD and Alzheimer’s disease can be diagnosed by many different signals such as EEG and Speech signals. This paper proposes a method for detecting PD and Alzheimer’s disease where, discrete wavelet transform feature extraction technique were used and SVM network is used for classification. The accuracy of 91.6% is obtained.
References
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Information Sciences
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