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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

Photoplethysmography (PPG) plays a crucial role in continuous cardiovascular health monitoring as a non-invasive and cost-effective modality. However, PPG signals are susceptible to motion artifacts and noise, making accurate estimation of…

Signal Processing · Electrical Eng. & Systems 2026-02-05 Shuntaro Suzuki , Shuitsu Koyama , Shinnosuke Hirano , Shunya Nagashima

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Alexey Protopopov

Photoplethysmography (PPG) is the leading non-invasive technique for monitoring biosignals and cardiovascular health, with widespread adoption in both clinical settings and consumer wearable devices. While machine learning models trained on…

Machine Learning · Computer Science 2025-02-06 Arvind Pillai , Dimitris Spathis , Fahim Kawsar , Mohammad Malekzadeh

Photoplethysmographic Imaging (PPGI) allows the determination of pulse rate variability from sequential beat-to-beat intervals (BBI) and pulse wave velocity from spatially resolved recorded pulse waves. In either case, sufficient temporal…

Signal Processing · Electrical Eng. & Systems 2022-03-01 Sebastian Zaunseder , Antti Vehkaoja , Vincent Fleischhauer , Christoph Hoog Antink

Much of the information of breathing is contained within the photoplethysmography (PPG) signal, through changes in venous blood flow, heart rate and stroke volume. We aim to leverage this fact, by employing a novel deep learning framework…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Harry J. Davies , Danilo P. Mandic

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying…

Computer Vision and Pattern Recognition · Computer Science 2019-09-04 Amogh Gudi , Marian Bittner , Roelof Lochmans , Jan van Gemert

Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and clinical application to assess vascular dynamics and…

Medical Physics · Physics 2023-09-26 Marton A. Goda , Peter H. Charlton , Joachim A. Behar

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

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

Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first we reveal essential steps of pulse rate estimation from…

Image and Video Processing · Electrical Eng. & Systems 2018-05-01 Anton M. Unakafov

Recent research has shown that each apnea episode results in a significant rise in the beat-to-beat blood pressure and by a drop to the pre-episode levels when patient resumes normal breathing. While the physiological implications of these…

Signal Processing · Electrical Eng. & Systems 2018-11-19 Armin Soltan Zadi , Raichel M. Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Objective: Evaluate a method for the estimation of the nocturnal systolic blood pressure (SBP) dip from 24-hour blood pressure trends using a wrist-worn photoplethysmography (PPG) sensor and a deep neural network in free-living individuals,…

The COVID-19 pandemic has underscored the need for low-cost, scalable approaches to measuring contactless vital signs, either during initial triage at a healthcare facility or virtual telemedicine visits. Remote photoplethysmography (rPPG)…

Image and Video Processing · Electrical Eng. & Systems 2024-11-26 Sandeep Nagar , Mark Hasegawa-Johnson , David G. Beiser , Narendra Ahuja

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in…

Machine Learning · Computer Science 2021-08-03 Ali Tazarv , Marco Levorato

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

Recent developments in cardiovascular modelling allow us to simulate blood flow in an entire human body. Such model can also be used to create databases of virtual subjects, with sizes limited only by computational resources. In this work,…

Medical Physics · Physics 2020-07-01 Janne M. J. Huttunen , Leo Kärkkäinen , Harri Lindholm

Photoplethysmography (PPG) signals, which measure changes in blood volume in the skin using light, have recently gained attention in biometric authentication because of their non-invasive acquisition, inherent liveness detection, and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Arfina Rahman , Mahesh Banavar