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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

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann

Remote photoplethysmography (rPPG) is a non-contact technique that estimates physiological signals by analyzing subtle skin color changes in facial videos. Existing rPPG methods often encounter performance degradation under facial motion…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Zuxian He , Xu Cheng , Zhaodong Sun , Haoyu Chen , Jingang Shi , Xiaobai Li , Guoying Zhao

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

This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-26 Benjamin Kossack , Eric Wisotzky , Peter Eisert , Sebastian P. Schraven , Brigitta Globke , Anna Hilsmann

Recent advances in remote heart rate measurement, motivated by data-driven approaches, have notably enhanced accuracy. However, these improvements primarily focus on recovering the rPPG signal, overlooking the implicit challenges of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Joaquim Comas , Adria Ruiz , Federico Sukno

Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predominantly rely on time-domain modeling, making them vulnerable…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Wei Qian , Dan Guo , Jinxing Zhou , Bochao Zou , Zitong Yu , Meng Wang

Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e.g., remote healthcare and affective computing). Recent…

Computer Vision and Pattern Recognition · Computer Science 2022-05-24 Zitong Yu , Yuming Shen , Jingang Shi , Hengshuang Zhao , Philip Torr , Guoying Zhao

Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based…

Photoplethysmography (PPG) is a cost-effective and non-invasive technique that utilizes optical methods to measure cardiac physiology. PPG has become increasingly popular in health monitoring and is used in various commercial and clinical…

Machine Learning · Computer Science 2024-06-13 Khuong Vo , Mostafa El-Khamy , Yoojin Choi

Opto-physiological monitoring including photoplethysmography (PPG) provides non-invasive cardiac and respiratory measurements, yet motion artefacts (MAs) during physical activity degrade its signal quality and downstream estimation…

Signal Processing · Electrical Eng. & Systems 2025-11-12 Xiaoyu Zheng , Sijung Hu , Vincent Dwyer , Mahsa Derakhshani , Laura Barrett

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Ashutosh Dhamaniya , Anup Kumar Gupta , Trishna Saikia , Puneet Gupta

Remote photoplethysmography (rPPG) estimates a blood volume pulse (BVP) waveform from facial videos captured by commodity cameras. Although recent deep models improve robustness compared to classical signal-processing approaches, many…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Vladimir Frants , Sos Agaian , Karen Panetta

Measurement of the cardiac pulse from facial video has become an interesting pursuit of research over the last few years. This is mainly due to the increasing importance of obtaining the heart rate of an individual in a non-invasive manner,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Bharath Ramakrishnan , Ruijia Deng

Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG features by designing…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Shuyang Chu , Menghan Xia , Mengyao Yuan , Xin Liu , Tapio Seppanen , Guoying Zhao , Jingang Shi

Remote physiological measurement (RPM) is an essential tool for healthcare monitoring as it enables the measurement of physiological signs, e.g., heart rate, in a remote setting via physical wearables. Recently, with facial videos, we have…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Hao Wang , Euijoon Ahn , Jinman Kim

Wrist photoplethysmography (PPG) allows unobtrusive monitoring of the heart rate (HR). PPG is affected by the capillary blood perfusion and the pumping function of the heart, which generally deteriorate with age and due to presence of…

Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

Portable physiological monitoring is essential for early detection and management of cardiovascular disease, but current methods often require specialized equipment that limits accessibility or impose impractical postures that patients…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Jiankai Tang , Tao Zhang , Jia Li , Yiru Zhang , Mingyu Zhang , Kegang Wang , Yuming Hao , Bolin Wang , Haiyang Li , Xingyao Wang , Yuanchun Shi , Yuntao Wang , Sichong Qian