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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
CLASSIFICATION OF ANXIETY DISORDER AND DEPRESSION DISORDER FROM EEG USING SVM
Authors
Pallavi Raut, Pranjali Deshmukh, Prabodhini Dhatrak, Dr.Bageshree Pathak
Keywords
DWT, EEG, KNN, SVM
Abstract
Due to constant work pressure, family pressure, current pandemic situation
people may suffer from anxiety and depression. It affects their physical and mental health.
So, we have developed a system to classify 3 different stages: normal state, anxiety and
depression from the EEG signals. Feature extraction technique used are statistical
parameters like mean, variance and standard deviation and classifier used is Support
Vector Machine (SVM) for detection of anxiety, depression and normal state for an
individual.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106693
Paper ID - 209251
Page Number(s) - f817-f821
Pubished in - Volume 9 | Issue 6 | June 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Pallavi Raut, Pranjali Deshmukh, Prabodhini Dhatrak, Dr.Bageshree Pathak, "CLASSIFICATION OF ANXIETY DISORDER AND DEPRESSION DISORDER FROM EEG USING SVM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.f817-f821, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106693.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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