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Continuous monitoring of blood pressure (BP) and hemodynamic parameters such as peripheral resistance (R) and arterial compliance (C) are critical for early vascular dysfunction detection. While photoplethysmography (PPG) wearables has…

Medical Physics · Physics 2025-12-12 Yaowen Zhang , Libera Fresiello , Peter H. Veltink , Dirk W. Donker , Ying Wang

Comparison of tacho-oscillographic and oscillometric methods for human blood pressure measurement with cuff occlusion in the same device at the same time is described. For this purpose the measurement system and software for signal…

Systems and Control · Computer Science 2015-06-22 Maksym Sikorsky , Anton Soroka , Vitaliy Mosiychuk , Oleg Sharpan

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

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

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, with blood pressure serving as a crucial indicator. Arterial blood pressure (ABP) waveforms provide continuous pressure measurements throughout the cardiac cycle and…

Machine Learning · Computer Science 2024-03-01 Lingfeng Li , Xue-Cheng Tai , Raymond Chan

rPPG (Remote photoplethysmography) is a technology that measures and analyzes BVP (Blood Volume Pulse) by using the light absorption characteristics of hemoglobin captured through a camera. Analyzing the measured BVP can derive various…

Image and Video Processing · Electrical Eng. & Systems 2023-08-21 Dae-Yeol Kim , Eunsu Goh , KwangKee Lee , JongEui Chae , JongHyeon Mun , Junyeong Na , Chae-bong Sohn , Do-Yup Kim

Blood pressure (BP) is a key indicator of cardiovascular health. As hypertension remains a global cause of morbidity and mortality, accurate, continuous, and non-invasive BP monitoring is therefore of paramount importance.…

Signal Processing · Electrical Eng. & Systems 2025-10-20 Bálint Tóth , Dominik Senti , Thorir Mar Ingolfsson , Jeffrey Zweidler , Alexandre Elsig , Luca Benini , Yawei Li

Hypertension is a leading risk factor for cardiovascular diseases. Traditional blood pressure monitoring methods are cumbersome and inadequate for continuous tracking, prompting the development of PPG-based cuffless blood pressure…

Signal Processing · Electrical Eng. & Systems 2024-11-20 Hui Lin , Jiyang Li , Ramy Hussein , Xin Sui , Xiaoyu Li , Guangpu Zhu , Aggelos K. Katsaggelos , Zijing Zeng , Yelei Li

Hypertension is a global health concern with an increasing prevalence, underscoring the need for effective monitoring and analysis of blood pressure (BP) dynamics. We analyzed a substantial BP dataset comprising 75,636,128 records from…

Quantitative Methods · Quantitative Biology 2024-04-25 Seyedeh Somayyeh Mousavi , Yuting Guo , Abeed Sarker , Reza Sameni

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

Noninvasive arterial blood pressure (ABP) monitoring is essential for patient management in critical care and perioperative settings, providing continuous assessment of cardiovascular hemodynamics with minimal risks. Numerous deep learning…

Machine Learning · Computer Science 2026-01-27 Wentao Li , Yonghu He , Zirong Yu , Kun Gao , Qing Liu , Yali Zheng

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

Blood Pressure (BP) estimation plays a pivotal role in diagnosing various health conditions, highlighting the need for innovative approaches to overcome conventional measurement challenges. Leveraging machine learning and speech signals,…

Machine Learning · Computer Science 2023-11-28 Vaishali Rajput , Preeti Mulay , Rajeev Raje

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

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

Cardiopulmonary resuscitation (CPR) is one of the essential tools to ensure oxygen supply during cardiac arrest. However, the precise effects of chest compression are not quantifiable to this day. This often results in a low quality of…

Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Xin Liu , Girish Narayanswamy , Akshay Paruchuri , Xiaoyu Zhang , Jiankai Tang , Yuzhe Zhang , Soumyadip Sengupta , Shwetak Patel , Yuntao Wang , Daniel McDuff

Heart rate (HR) estimation from photoplethysmography (PPG) signals is a key feature of modern wearable devices for health and wellness monitoring. While deep learning models show promise, their performance relies on the availability of…

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

Hypertension is a highly prevalent chronic medical condition and a strong risk factor for cardiovascular disease (CVD), as it accounts for more than $45\%$ of CVD. The relation between blood pressure (BP) and its risk factors cannot be…

Applications · Statistics 2023-07-25 Sanna Soomro , Keming Yu