Non-Contact Respiratory Rate Measurement via Visible Camera Based on the Demodulation of Remote Photoplethysmography Signal

Respiratory rate measurement is a critical component of health monitoring. Among the existing methods of respiratory rate measurement, visualization is often time-consuming and unsuitable for real-time monitoring while wearable devices can cause discomfort due to their contact with the body. In this study, we propose a novel respiratory rate measurement method based on remote photoplethysmography signal demodulation, utilizing a visible light camera as the measurement device to achieve real-time and comfortable respiratory measurement. To validate the performance of the algorithm, we conducted experiments capturing video and real respiration signals from 31 subjects. The results indicate a mean error of -0.4382 breaths per minute (bpm), a mean absolute error of 2.1012 bpm and a root mean square error of 2.6828 bpm. The respiratory rates measured by our proposed method demonstrated good consistency with the true values.

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Published
2024-10-26
DOI
https://doi.org/10.1109/cisp-bmei64163.2024.10906107
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-Contact Respiratory Rate Measurement via Visible Camera Based on the Demodulation of Remote Photoplethysmography Signal

Yafei Guo, Yuguo Chen, Yuanhui Li, Ke Li et al.
Non-Invasive Vital Sign Monitoring
article

Non-Contact Respiratory Rate Measurement via Visible Camera Based on the Demodulation of Remote Photoplethysmography Signal

Yafei Guo, Yuguo Chen, Yuanhui Li, Ke Li, Jiali Wang, Feng Xu, Zhiqiang Chen
article en

Abstract

Respiratory rate measurement is a critical component of health monitoring. Among the existing methods of respiratory rate measurement, visualization is often time-consuming and unsuitable for real-time monitoring while wearable devices can cause discomfort due to their contact with the body. In this study, we propose a novel respiratory rate measurement method based on remote photoplethysmography signal demodulation, utilizing a visible light camera as the measurement device to achieve real-time and comfortable respiratory measurement. To validate the performance of the algorithm, we conducted experiments capturing video and real respiration signals from 31 subjects. The results indicate a mean error of -0.4382 breaths per minute (bpm), a mean absolute error of 2.1012 bpm and a root mean square error of 2.6828 bpm. The respiratory rates measured by our proposed method demonstrated good consistency with the true values.

Shandong University (CN), Qilu Hospital of Shandong University (CN), Imperial College London (GB)
National Key Research and Development Program of China
Openalex Percentile: Top 75%
Non-Invasive Vital Sign Monitoring
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