A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Published 2023 View Full Article
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Title
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Authors
Keywords
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Journal
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
Volume -, Issue -, Pages 1-22
Publisher
Informa UK Limited
Online
2023-11-06
DOI
10.1080/10255842.2023.2275547
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- (2009) B. Arnrich et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
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