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Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart-rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, Motion Artifacts (MAs) severely impact the monitoring accuracy, causing high…

Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll of lives annually throughout the world. The continuous monitoring of blood pressure seems to be the most viable option, but this demands an invasive…

Signal Processing · Electrical Eng. & Systems 2022-09-27 Nabil Ibtehaz , Sakib Mahmud , Muhammad E. H. Chowdhury , Amith Khandakar , Mohamed Arselene Ayari , Anas Tahir , M. Sohel Rahman

Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable settings. While existing PPG datasets support a broad range of…

Computation and Language · Computer Science 2026-05-08 Hung Manh Pham , Jinyang Wu , Xiao Ma , Yiming Zhang , Yixin Xu , Aaqib Saeed , Bin Zhu , Zhou Pan , Dong Ma

Hypertension is commonly referred to as the "silent killer", since it can lead to severe health complications without any visible symptoms. Early detection of hypertension is crucial in preventing significant health issues. Although some…

Signal Processing · Electrical Eng. & Systems 2023-08-07 Navid Hasanzadeh , Shahrokh Valaee , Hojjat Salehinejad

Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown impressive performance on benchmark datasets. We argue that…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

Photoplethysmography (PPG) is widely used in wearable health monitoring, yet large PPG foundation models remain difficult to deploy on resource-limited devices. We present PPG-Distill, a knowledge distillation framework that transfers both…

Machine Learning · Computer Science 2025-11-10 Juntong Ni , Saurabh Kataria , Shengpu Tang , Carl Yang , Xiao Hu , Wei Jin

Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases. However, BP values are mainly acquired through the contact sensing method, which is inconvenient and unfriendly to continuous BP…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Jialiang Zhuang , Bin Li , Yun Zhang , Yuheng Chen , Xiujuan Zheng

The local beat-to-beat local pulse pressure (PP) and blood pressure waveform of arteries, especially central arteries, are important indicators of the course of cardiovascular diseases (CVDs). Nevertheless, noninvasive measurement of them…

Signal Processing · Electrical Eng. & Systems 2023-05-30 Lirui Xu , Pang Wu , Pan Xia , Fanglin Geng , Peng Wang , Xianxiang Chen , Zhenfeng Li , Lidong Du , Shuping Liu , Li Li , Hongbo Chang , Zhen Fang

Continuous and noninvasive monitoring of blood pressure has numerous clinical and fitness applications. Current methods of continuous measurement of blood pressure are either invasive and/or require expensive equipment. Therefore, we…

Signal Processing · Electrical Eng. & Systems 2018-11-16 Armin Soltan Zadi , Raichel Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Photoplethysmogram (PPG) is increasingly used to provide monitoring of the cardiovascular system under ambulatory conditions. Wearable devices like smartwatches use PPG to allow long term unobtrusive monitoring of heart rate in free living…

Machine Learning · Computer Science 2019-03-22 Shyam A , Vignesh Ravichandran , Preejith S. P , Jayaraj Joseph , Mohanasankar Sivaprakasam

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

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

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

The growing integration of smart environments and low-power computing devices, coupled with mass-market sensor technologies, is driving advancements in remote and non-contact physiological monitoring. However, deploying these systems in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Constantino Álvarez Casado , Sasan Sharifipour , Manuel Lage Cañellas , Nhi Nguyen , Le Nguyen , Miguel Bordallo López

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

In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many…

Signal Processing · Electrical Eng. & Systems 2020-12-21 Javier de Pedro-Carracedo , David Fuentes-Jimenez , Ana M. Ugena , Ana P. Gonzalez-Marcos

Continuous blood pressure (BP) estimation via photoplethysmography (PPG) remains a significant challenge, particularly in providing comprehensive cardiovascular insights for hypertensive complications. This study presents a novel…

Medical Physics · Physics 2025-04-24 Yaowen Zhang , Libera Fresiello , Peter H. Veltink , Dirk W. Donker , Ying Wang

Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create cheap, convenient and…

Medical Physics · Physics 2019-01-03 Youngjun Cho , Simon J. Julier , Nadia Bianchi-Berthouze

Remote photo-plethysmography (rPPG) uses a camera to estimate 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 physio/psychological conditions…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Amogh Gudi , Marian Bittner , Jan van Gemert

Background: Photoplethysmography (PPG) is a non-invasive optical sensing technique widely used to capture hemodynamic information, with broad deployment in both clinical monitoring systems and wearable devices. In recent years, the…

Artificial Intelligence · Computer Science 2026-05-06 Guangkun Nie , Jiabao Zhu , Gongzheng Tang , Deyun Zhang , Shijia Geng , Qinghao Zhao , Shenda Hong