The Development of Intelligent Models for Stress Detection towards Real-world Applications
Author:
Affiliation:
1. National Electronics and Computer Technology Center,Neural Signal Processing Research Team,Pathumthani,Thailand
2. Prince of Songkla University,Division of Health and Applied Sciences,Songkhla,Thailand
Funder
Prince of Songkla University
National Electronics and Computer Technology Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836023/9836237/09836256.pdf?arnumber=9836256
Reference30 articles.
1. Mental Stress Detection in University Students using Machine Learning Algorithms
2. Analysis of Stroop Color Word Test-Based Human Stress Detection using Electrocardiography and Heart Rate Variability Signals;karthikeyan;AJSE,2013
3. An Electrocardiogram Acquisition and Analysis System for Detection of Human Stress
4. A stress recognition system using HRV parameters and machine learning techniques
5. Comparison of Machine Learning Techniques for Psychophysiological Stress Detection
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1. ECG and EEG based machine learning models for the classification of mental workload and stress levels for women in different menstrual phases, men, and mixed sexes;Biomedical Signal Processing and Control;2024-09
2. ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study;PLOS ONE;2023-09-01
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