UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209031


Registration ID:
502040

Page Number

a298-a303

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Title

An Adaptive Technique based on Machine and Deep Learning for Prediction of Depression using EEG

Abstract

Depression has become a leading mental disorder worldwide. Evidence has shown that subjects with depression exhibit different spatial responses in neurophysiologic signals from the healthy controls when they are exposed to positive and negative. EEG plays an important role in E-healthcare systems, especially in the mental healthcare area, where constant and unobtrusive monitoring is desirable. EEG signals can reflect activities of the human brain and represent different emotional states. Mental stress has become a social issue and could become a cause of functional disability during routine work. This paper proposed an adaptive approach based on machine and deep learning for detecting depression using EEG. The algorithm first extracts features from EEG signals and classifies emotions using machine and deep learning techniques, in which different parts of a trial are used to train the proposed model and assess its impact on emotion recognition results.

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"An Adaptive Technique based on Machine and Deep Learning for Prediction of Depression using EEG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.a298-a303, September-2022, Available :http://www.jetir.org/papers/JETIR2209031.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Adaptive Technique based on Machine and Deep Learning for Prediction of Depression using EEG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppa298-a303, September-2022, Available at : http://www.jetir.org/papers/JETIR2209031.pdf

Publication Details

Published Paper ID: JETIR2209031
Registration ID: 502040
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: a298-a303
Country: Bhopal, MP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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