Real-Time Detection of Acute Cognitive Stress Using a Convolutional Neural Network From Electrocardiographic Signal

Real-Time Detection of Acute Cognitive Stress Using a Convolutional Neural Network From Electrocardiographic Signal

As stress is related to many mental and physical health problems, monitoring stress and its management is getting increasingly important in modern societies. Because of the advantage of convolutional neural network (CNN) in automatic feature learning, this study is proposed to use CNN to achieve acc...

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Bibliographic Details
Main Authors: Jiayuan He, Ke Li, Xiaoli Liao, Ping Zhang, Ning Jiang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cognitive stress
electrocardiogram (ECG)
heart rate variability (HRV)
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/8672855/

Internet

https://ieeexplore.ieee.org/document/8672855/

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