A deep learning-based comparative study to track mental depression from EEG data

A deep learning-based comparative study to track mental depression from EEG data

Background: Modern day's society is engaged in commitment-based and time-bound jobs. This invites tension and mental depression among many people who are not able to cope up with this type of working environment. Cases of mental depression are increasing day by day all over the world. Recently,...

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Bibliographic Details
Main Authors: Avik Sarkar, Ankita Singh, Rakhi Chakraborty
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Neuroscience Informatics
Subjects:
Multi-layer perceptron (MLP)
Convolution neural network with MLP as a classifier (CNN)
Recurrent neural network (RNN)
RNN with LSTM (long- and short-term memory)
Support vector machine (SVM)
Logistic regression (LR)
Online Access:http://www.sciencedirect.com/science/article/pii/S2772528622000012

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http://www.sciencedirect.com/science/article/pii/S2772528622000012

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