EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function
The paper proposes an induced stress classification algorithm that uses features from the Doppler spectrum. In this approach, a reference signal source is used to obtain the quadrature and in-phase components of the EEG signal. The higher frequency components from the in-phase and quadrature are the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157824001022 |