A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis

标题
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
作者
关键词
Depression, Major depressive disorder (MDD), Machine learning, Electroencephalogram (EEG), Computer-aided diagnosis (CAD)
出版物
JOURNAL OF NEUROSCIENCE METHODS
Volume 358, Issue -, Pages 109209
出版商
Elsevier BV
发表日期
2021-05-04
DOI
10.1016/j.jneumeth.2021.109209

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