Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions-Reference-Cited by-同舟云学术

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Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions

Published:2024-01 Issue: Volume:87 Page:105461
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Liu Yang,Guo Xiang^ORCID,Zhang Yuzhong

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference100 articles.

1. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association;Tsao;Circulation,2022

2. Video-Based Heart Rate Measurement: Recent Advances and Future Prospects;Chen;IEEE Trans. Instrum. Meas.,2019

3. Ambient and Unobtrusive Cardiorespiratory Monitoring Techniques;Bruser;IEEE Rev. Biomed. Eng.,2015

4. High heart rate: a cardiovascular risk factor?;Cook;Eur. Heart J.,2006

5. Non-contact remote estimation of cardiovascular parameters;Fan;Biomed. Signal Process. Control,2018

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