Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring-Reference-Cited by-同舟云学术

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Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring

Published:2023-07-24 Issue: Volume: Page:
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Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Udhayakumar Radhagayathri¹,Rahman Saifur²,Gopakumar Shivapratap³,Karmakar Chandan²

Affiliation:

1. Amrita Vishwa Vidyapeetham,Center for Wireless Networks & Applications,Amritapuri,Kerala,India,690525

2. Deakin University,School of Information Technology,Burwood,Australia,VIC 3125

3. Amrita Vishwa Vidyapeetham,The School for Sustainable Development,Amritapuri,Kerala,India,690525

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340715.pdf?arnumber=10340715

Reference23 articles.

1. Multimodal Hierarchical CNN Feature Fusion for Stress Detection

2. Stress Detection in Working People

3. Consistency of random forests and other averaging classifiers;biau;Journal of Machine Learning Research,2008

4. Understanding Irregularity Characteristics of Short-Term HRV Signals Using Sample Entropy Profile

5. Nonlinear Systems: Dynamics, Control, Optimization and Applications to the Science and Engineering

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