Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion

• Published in: 2022 IEEE Symposium Series on Computational Intelligence (SSCI) pp. 186 - 192
• Main Authors: Rafiei, Alireza, Wang, Yu-Kai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.12.2022
• Subjects: Brain modeling; Choquet fuzzy integral fusion; Convolutional neural network (CNN); Convolutional neural networks; Deep learning; Depression; EEG band powers; EEG signal processing; Electroencephalography; Major depressive disorder (MDD); Sensitivity; Solid modeling; Three-dimensional displays

Major depressive disorder (MDD) is a common and severe ailment impacting functional frailty, while its concrete manifestations have been shrouded in mystery. Hence, manual diagnosis of MDD is an arduous and subjective task. Despite the aid of electroencephalogram (EEG) signals in the detection, deve...