Wavelet-Based Analysis of Photoplethysmogram for Stress Detection Using Convolutional Neural Networks
Author:
Affiliation:
1. Faculty of New Sciences and Technologies, University of Tehran,Advanced Service Robots (ASR) Lab,Department of Mechatronics Engineering,Tehran,Iran
2. Kettering University,Department of Electrical and Computer Engineering,Flint,Michigan,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10412246/10412347/10412512.pdf?arnumber=10412512
Reference22 articles.
1. Visual landscapes and psychological well‐being
2. The impact of stress on body function: A review;Yaribeygi;EXCLI J.,2017
3. Stress Assessment with Convolutional Neural Network Using PPG Signals
4. Fabrication of a portable device for stress monitoring using wearable sensors and soft computing algorithms
5. Respiratory Events Estimation From PPG Signals Using a Simple Peak Detection Algorithm
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Continuous Wavelet Transformation and VGG16 Deep Neural Network for Stress Classification in PPG Signals;2023 9th International Conference on Control, Instrumentation and Automation (ICCIA);2023-12-20
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