Computer-aided diagnosis of depression using EEG signals

Computer-aided diagnosis of depression using EEG signals

The complex, nonlinear and non-stationary electroencephalogram (EEG) signals are very tedious to interpret visually and highly difficult to extract the significant features from them. The linear and nonlinear methods are effective in identifying the changes in EEG signals for the detection of depres...

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Bibliographic Details
Main Authors: Acharya, U.R., Sudarshan, V.K., Adeli, H., Santhosh, J., Koh, J.E.W., Adeli, A.
Format: Article
Published: KARGER, ALLSCHWILERSTRASSE 10, CH-4009 BASEL, SWITZERLAND 2015
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://www.ncbi.nlm.nih.gov/pubmed/25997732
http://www.ncbi.nlm.nih.gov/pubmed/25997732
http://eprints.um.edu.my/15746/1/Computer%2DAided_Diagnosis_of_Depression_Using_EEG_Signals.pdf

Internet

http://www.ncbi.nlm.nih.gov/pubmed/25997732
http://www.ncbi.nlm.nih.gov/pubmed/25997732
http://eprints.um.edu.my/15746/1/Computer%2DAided_Diagnosis_of_Depression_Using_EEG_Signals.pdf

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