EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function-Reference-Cited by-同舟云学术

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

Published:2024-04 Issue:4 Volume:36 Page:102013
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Naren J.,Babu A. Ramesh

Publisher

Elsevier BV

Reference25 articles.

1. Classifying multi-level stress responses from brain cortical EEG in nurses and non-health professionals using machine learning auto encoder;Akella;IEEE J. Translat. Eng. Health Med.,2021

2. Asif, Anum, Muhammad Majid, and Syed Muhammad Anwar. “Human stress classification using EEG signals in response to music tracks.” Computers in biology and medicine 107 (2019): 182-196.

3. EEG data classification for mental state analysis using wavelet packet transform and Gaussian process classifier;Desai;Wirel. Pers. Commun.,2020

4. Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition;Dhas;Biomed. Signal Process. Control,2022

5. Extraction of fetal ECG from abdominal and thorax ECG using a non-causal adaptive filter architecture;Dhas;IEEE Trans. Biomed. Circuits Syst.,2022

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