EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function

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...

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Bibliographic Details
Main Authors:	J. Naren, A. Ramesh Babu
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Series:	Journal of King Saud University: Computer and Information Sciences
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157824001022

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