@article{ref1,
title="EEG based depression level monitoring using signal processing technique",
journal="Indian journal of public health research and development",
year="2017",
author="Nishitha, P. and Reji, M. and Kishore Raja, P.C.",
volume="8",
number="4",
pages="1346-1351",
abstract="One of the majority common mental disorders that at its worst can lead to suicide is the depression. Curable stage of depression is diagnosing which is very significant. Alcoholism and sleep disorders are also the depression disorders. In this project, publicly available database is used to get Electroencephalogram Gram (EEG) signals processed in MATLAB. This can be useful in classifying subjects with the disorders using classifier tools present in it. For this goal, the features are extracted from frequency bands (alpha, theta and delta). © 2017, Indian Journal of Public Health Research and Development. All rights reserved.<p /><p>Language: en</p>",
language="en",
issn="0976-0245",
doi="10.5958/0976-5506.2017.00521.6",
url="http://dx.doi.org/10.5958/0976-5506.2017.00521.6"
}