Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks

Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks

Depression severity can be classified into distinct phases based on the Beck depression inventory (BDI) test scores, a subjective questionnaire. However, quantitative assessment of depression may be attained through the examination and categorization of electroencephalography (EEG) signals. Spiking...

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Bibliographic Details
Main Authors: A. Sam, R. Boostani, S. Hashempour, M. Taghavi, S. Sanei
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Beck depression inventory
LSTM
spiking neural network
synaptic time dependent plasticity
Online Access:https://ieeexplore.ieee.org/document/10328579/

Internet

https://ieeexplore.ieee.org/document/10328579/

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