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Communication

Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals

1
Department of AI & Informatics, Graduate School, Sangmyung University, Hongjimun 2-Gil 20, Jongno-Gu, Seoul 03016, Korea
2
R&D Team, Zena Inc., Seoul 04782, Korea
3
Department of Human-Centered AI, Sangmyung University, Hongjimun 2-Gil 20, Jongno-Gu, Seoul 03016, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Hyun Jae Baek, Heenam Yoon and Panicos Kyriacou
Sensors 2021, 21(18), 6241; https://doi.org/10.3390/s21186241
Received: 26 July 2021 / Revised: 14 September 2021 / Accepted: 15 September 2021 / Published: 17 September 2021
Pulse rate variability (PRV) refers to the change in the interval between pulses in the blood volume pulse (BVP) signal acquired using photoplethysmography (PPG). PRV is an indicator of the health status of an individual’s autonomic nervous system. A representative method for measuring BVP is contact PPG (CPPG). CPPG may cause discomfort to a user, because the sensor is attached to the finger for measurements. In contrast, noncontact remote PPG (RPPG) extracts BVP signals from face data using a camera without the need for a sensor. However, because the existing RPPG is a technology that extracts a single pulse rate rather than a continuous BVP signal, it is difficult to extract additional health status indicators. Therefore, in this study, PRV analysis is performed using lab-based RPPG technology that can yield continuous BVP signals. In addition, we intended to confirm that the analysis of PRV via RPPG can be performed with the same quality as analysis via CPPG. The experimental results confirmed that the temporal and frequency parameters of PRV extracted from RPPG and CPPG were similar. In terms of correlation, the PRVs of RPPG and CPPG yielded correlation coefficients between 0.98 and 1.0. View Full-Text
Keywords: contact photoplethysmography; remote photoplethysmography; pulse rate variability; photoplethysmography; cardiovascular system contact photoplethysmography; remote photoplethysmography; pulse rate variability; photoplethysmography; cardiovascular system
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MDPI and ACS Style

Yu, S.-G.; Kim, S.-E.; Kim, N.H.; Suh, K.H.; Lee, E.C. Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals. Sensors 2021, 21, 6241. https://doi.org/10.3390/s21186241

AMA Style

Yu S-G, Kim S-E, Kim NH, Suh KH, Lee EC. Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals. Sensors. 2021; 21(18):6241. https://doi.org/10.3390/s21186241

Chicago/Turabian Style

Yu, Su-Gyeong, So-Eui Kim, Na H. Kim, Kun H. Suh, and Eui C. Lee 2021. "Pulse Rate Variability Analysis Using Remote Photoplethysmography Signals" Sensors 21, no. 18: 6241. https://doi.org/10.3390/s21186241

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