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Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras. The COVID-19…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectures have improved the accuracy of such physiological…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yunhao Ba , Zhen Wang , Kerim Doruk Karinca , Oyku Deniz Bozkurt , Achuta Kadambi

Remote Photoplethysmography (rPPG) is a non-contact method that uses facial video to predict changes in blood volume, enabling physiological metrics measurement. Traditional rPPG models often struggle with poor generalization capacity in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Yiping Xie , Zitong Yu , Bingjie Wu , Weicheng Xie , Linlin Shen

Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health…

Computer Vision and Pattern Recognition · Computer Science 2015-03-25 Mayank Kumar , Ashok Veeraraghavan , Ashutosh Sabharval

Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may…

Machine Learning · Computer Science 2023-07-14 Ramin Ghorbani , Marcel J. T. Reinders , David M. J. Tax

Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Jiankai Tang , Kequan Chen , Yuntao Wang , Yuanchun Shi , Shwetak Patel , Daniel McDuff , Xin Liu

With the ongoing heart problems of the population worldwide, the medical requirements of the people are expected to increase. Electrocardiogram (ECG) is one of the proven to capture the heart response signal to assess the electrical and…

Signal Processing · Electrical Eng. & Systems 2021-09-08 Ayan Chatterjee , Sundar Gopalakrishnan , Martin Gerdes , Santiago Martinez , Nibedita Pahari , Pankaj Khatiwada

Wearable physiological monitors are ubiquitous, and photoplethysmography (PPG) is the standard low-cost sensor for measuring cardiac activity. Metrics such as inter-beat interval (IBI) and pulse-rate variability (PRV) -- core markers of…

Other Computer Science · Computer Science 2025-10-08 Yuna Watanabe , Natasha Yamane , Aarti Sathyanarayana , Varun Mishra , Matthew S. Goodwin

The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wearable devices. Continuous PPG signal preprocessed and used…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Wenrui Lin , Berken Utku Demirel , Mohammad Abdullah Al Faruque , G. P. Li

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors. Recent studies have shown…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Zhaodong Sun , Xiaobai Li , Jukka Komulainen , Guoying Zhao

Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular, interpretable pipeline for pulse signal…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

Photoplethysmography (PPG) signals encode information about relative changes in blood volume that can be used to assess various aspects of cardiac health non-invasively, e.g.\ to detect atrial fibrillation (AF) or predict blood pressure…

Machine Learning · Computer Science 2025-05-19 Ciaran Bench , Vivek Desai , Mohammad Moulaeifard , Nils Strodthoff , Philip Aston , Andrew Thompson

Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted increasing attention in rPPG. However, when rPPG is…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Jiyao Wang , Hao Lu , Ange Wang , Xiao Yang , Yingcong Chen , Dengbo He , Kaishun Wu

Hypertension, a leading contributor to cardiovascular morbidity, underscores the need for accurate and continuous blood pressure (BP) monitoring. Photoplethysmography (PPG) presents a promising approach to this end. However, the precision…

We present the findings of an experimental study whereby we correlate the changes in the morphology of the photoplethysmography (PPG) signal to healthy aging. Under this pretext, we estimate the biological age of a person as well as the age…

Video-based remote physiological measurement utilizes face videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements achieve state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Zhaodong Sun , Xiaobai Li

Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG). However for many medical applications (e.g., atrial fibrillation (AF) detection)…

Computer Vision and Pattern Recognition · Computer Science 2019-08-01 Zitong Yu , Xiaobai Li , Guoying Zhao

Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains, we…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Nathan Vance , Jeremy Speth , Benjamin Sporrer , Patrick Flynn

Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent of medical complications. Current cuffless approaches to…

Machine Learning · Computer Science 2021-11-30 Rishi Vardhan K , Vedanth S , Poojah G , Abhishek K , Nitish Kumar M , Vineeth Vijayaraghavan

In this work, we present the Senbiosys blood pressure monitoring algorithm (SB-BPM) that solely requires a photoplethysmography (PPG) signal. The technology is based on pulse wave analysis (PWA) of PPG signals retrieved from different body…

Medical Physics · Physics 2021-11-22 Serj Haddad , Assim Boukhayma , Antonino Caizzone
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