Automated Approach for Depression Recognition Using Fast Fourier Transform Based EEG Signals
DOI:
https://doi.org/10.32792/jeps.v13i2.295Keywords:
MDD, EEG, LS-SVM, Entropy, SODP, FFT band filterAbstract
Major Depressive Disorder (MDD) is the primary cause of impairment and one of the primary reasons
for suicide. It is a serious ailment that millions of people are currently suffering from it. Any decline in
brain function during MDD or depression is evident in the Electroencephalogram (EEG) signals. In this
study, a Fast Fourier transform (FFT) method-based automated framework for depression recognition is
proposed. Firstly, EEG signals from each channel are divide
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