Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks

Depression score is traditionally determined by taking the Beck depression inventory (BDI) test, which is a qualitative questionnaire. Quantitative scoring of depression has also been achieved by analyzing and classifying pre-recorded electroencephalography (EEG) signals. Here, we go one step furthe...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering 2022, Vol.30, p.176-183
Hauptverfasser:	Hashempour, S., Boostani, R., Mohammadi, M., Sanei, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Beck depression test CNN Convolution Convolutional neural networks Deep learning Depression EEG Electrodes Electroencephalography Electroencephalography - methods Feature extraction Humans Neural networks Neural Networks, Computer Qualitative analysis Scalp Statistical analysis Statistical methods Statistics TCN
Online-Zugang:	Volltext
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