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Reconstructing ECG from PPG is a promising yet challenging task. While recent advancements in generative models have significantly improved ECG reconstruction, accurately capturing fine-grained waveform features remains a key challenge. To…

Image and Video Processing · Electrical Eng. & Systems 2025-07-24 Xiaoyan Li , Shixin Xu , Faisal Habib , Arvind Gupta , Huaxiong Huang

Photoplethysmography (PPG)-based foundation models are gaining traction due to the widespread use of PPG in biosignal monitoring and their potential to generalize across diverse health applications. In this paper, we introduce Pulse-PPG,…

Machine Learning · Computer Science 2025-07-25 Mithun Saha , Maxwell A. Xu , Wanting Mao , Sameer Neupane , James M. Rehg , Santosh Kumar

Vital sign measurement using cameras presents opportunities for comfortable, ubiquitous health monitoring. Remote photoplethysmography (rPPG), a foundational technology, enables cardiac measurement through minute changes in light reflected…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Kegang Wang , Jiankai Tang , Yuntao Wang , Xin Liu , Yuxuan Fan , Jiatong Ji , Yuanchun Shi , Daniel McDuff

We investigated the beat-to-beat fluctuation of the photoplethysmography (PPG) waveform. The motivation is that morphology variability extracted from the arterial blood pressure (ABP) has been found to correlate with baseline condition and…

Quantitative Methods · Quantitative Biology 2025-03-20 Yu-Chieh Ho , Te-Sheng Lin , She-Chih Wang , Chen-Shi Chang , Yu-Ting Lin

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Bin Li , Panpan Zhang , Jinye Peng , Hong Fu

Blood pressure (BP) changes are linked to individual health status in both clinical and non-clinical settings. This study developed a deep learning model to classify systolic (SBP), diastolic (DBP), and mean (MBP) BP changes using…

Signal Processing · Electrical Eng. & Systems 2024-07-04 Jingyuan Hong , Manasi Nandi , Weiwei Jin , Jordi Alastruey

Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers a practical pathway toward scalable cardiovascular health assessment. Despite rapid progress, existing PPG-based blood pressure estimation…

Machine Learning · Computer Science 2026-02-05 Neville Mathew , Yidan Shen , Renjie Hu , Maham Rahimi , George Zouridakis

Remote photoplethysmography (rPPG) enables contactless physiological sensing from facial videos by analyzing subtle appearance variations induced by blood circulation. However, modeling the temporal dynamics of these signals remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Ba-Thinh Nguyen , Thi-Duyen Ngo , Thanh-Trung Huynh , Thanh-Ha Le , Huy-Hieu Pham

Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key…

Image and Video Processing · Electrical Eng. & Systems 2025-09-09 Đorđe D. Nešković , Kristina Stojmenova Pečečnik , Jaka Sodnik , Nadica Miljković

High-frequency physiological waveform modality offers deep, real-time insights into patient status. Recently, physiological foundation models based on Photoplethysmography (PPG), such as PPG-GPT, have been shown to predict critical events,…

Machine Learning · Computer Science 2025-09-29 Saurabh Kataria , Davood Fattahi , Minxiao Wang , Ran Xiao , Matthew Clark , Timothy Ruchti , Mark Mai , Xiao Hu

Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance. This technology enables monitoring in situations where contact-based devices may be problematic or infeasible, such as…

Computer Vision and Pattern Recognition · Computer Science 2016-06-30 Robert Amelard , David A Clausi , Alexander Wong

Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Ke Liu , Jiankai Tang , Zhang Jiang , Yuntao Wang , Xiaojing Liu , Dong Li , Yuanchun Shi

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) 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

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…

Non-contact facial video-based heart rate estimation using remote photoplethysmography (rPPG) has shown great potential in many applications (e.g., remote health care) and achieved creditable results in constrained scenarios. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Jiaqi Kang , Su Yang , Weishan Zhang

The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote photoplethysmography (rPPG) - the measurement of blood volume…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 John Gideon , Simon Stent

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

Despite the population of the noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable algorithm which is able to simultaneously extract from a…

Neurons and Cognition · Quantitative Biology 2017-09-05 Antonio Cicone , Hau-Tieng Wu

Remote photoplethysmography (rPPG) is a method for non-contact measurement of physiological signals from facial videos, holding great potential in various applications such as healthcare, affective computing, and anti-spoofing. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Bochao Zou , Zizheng Guo , Xiaocheng Hu , Huimin Ma