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Photoplethysmography (PPG) is a simple and inexpensive technology used in many smart devices to monitor cardiovascular health. The PPG sensors use LED lights to penetrate into the bloodstream to detect the different blood volume changes in…

Medical Physics · Physics 2021-10-22 Irene Pi , Isleen Pi , Wei Wu

Longitudinal monitoring of heart rate (HR) and heart rate variability (HRV) can aid in tracking cardiovascular diseases (CVDs), sleep quality, sleep disorders, and reflect autonomic nervous system activity, stress levels, and overall…

Signal Processing · Electrical Eng. & Systems 2024-12-20 Ruhan Yi , Mihail Popescu , James M. Keller , Grant Scott , Laurel Despins , David Heise , Marjorie Skubic

This work introduces a novel DeepFake detection framework based on physiological measurement. In particular, we consider information related to the heart rate using remote photoplethysmography (rPPG). rPPG methods analyze video sequences…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Javier Hernandez-Ortega , Ruben Tolosana , Julian Fierrez , Aythami Morales

Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and self-supervised methods have been proposed, they often fail…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Banafsheh Adami , Nima Karimian

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context can provide increased physiological insight, existing PPGI…

Quantitative Methods · Quantitative Biology 2016-12-21 Robert Amelard , David A Clausi , Alexander Wong

Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. ECG sensing is non-invasive and relatively easy to acquire,…

Remote photoplethysmography (rPPG) measurement enables non-contact physiological monitoring but suffers from accuracy degradation under head motion and illumination changes. Existing deep learning methods are mostly heuristic and lack…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Bo Zhao , Dan Guo , Junzhe Cao , Yong Xu , Bochao Zou , Tao Tan , Yue Sun , Zitong Yu

Photoplethysmography (PPG) is a method of detecting variation in blood volume commonly through contact with the skin and involving the usage of one or multiple sensors. PPG is typically used in health-related fields and one of its most…

Medical Physics · Physics 2021-08-24 Jiesheng He , Wei Wu

Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research field with many researchers performing clinical studies of iPPG…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Vineet R. Shenoy , Cheng Peng , Rama Chellappa , Yu Sun

Using mobile phone video of the fingertip as a data source for estimating vital signs such as heart rate (HR) and respiratory rate (RR) during daily life has long been suggested. While existing literature indicates that these estimates are…

Signal Processing · Electrical Eng. & Systems 2025-07-01 Ibne Farabi Shihab

In recent years, considerable progress has been made in the non-contact based detection of the respiration rate from video sequences. Common techniques either directly assess the movement of the chest due to breathing or are based on…

Image and Video Processing · Electrical Eng. & Systems 2019-06-20 Fabian Schrumpf , Christoph Moench , Gerold Bausch , Mirco Fuchs

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

Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health. However, PPG signals collected from such devices are susceptible to…

Signal Processing · Electrical Eng. & Systems 2023-07-12 Pranay Jain , Cheng Ding , Cynthia Rudin , Xiao Hu

Facial-video based Remote photoplethysmography (rPPG) aims at measuring physiological signals and monitoring heart activity without any contact, showing significant potential in various applications. Previous deep learning based rPPG…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Chaoqi Luo , Yiping Xie , Zitong Yu

Numerous real-world applications have been driven by the recent algorithmic advancement of artificial intelligence (AI). Healthcare is no exception and AI technologies have great potential to revolutionize the industry. Non-contact…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Xin Liu , Shwetak Patel , Daniel McDuff

Heart rate measuring based on remote photoplethysmography (rPPG) plays an important role in health caring, which estimates heart rate from facial video in a non-contact, less-constrained way. End-to-end neural network is a main branch of…

Computer Vision and Pattern Recognition · Computer Science 2022-09-28 Weiyu Sun , Xinyu Zhang , Ying Chen , Yun Ge , Chunyu Ji , Xiaolin Huang

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition. The demand for rPPG tasks…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Yuting Zhang , Hao Lu , Xin Liu , Yingcong Chen , Kaishun Wu

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

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