Prediction of Beck Depression Inventory Score in EEG: Application of Deep-Asymmetry Method

There is ongoing research on using electroencephalography (EEG) to predict depression. In particular, the deep learning method in which brain waves are used as inputs of a convolutional neural network (CNN) is being widely researched and has shown remarkable performance. We built a regression model...

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Detalles Bibliográficos

Principais autores:	Min Kang, Seokhwan Kang, Youngho Lee
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-10-01
Series:	Applied Sciences
Assuntos:	convolutional neural network Beck depression inventory electroencephalography deep-asymmetry regression model
Acceso en liña:	https://www.mdpi.com/2076-3417/11/19/9218
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