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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

Remote photoplethysmography (rPPG) is an attractive camera-based health monitoring method that can measure the heart rhythm from facial videos. Many well-established deep-learning models have been reported to measure heart rate (HR) and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-22 Jialiang Zhuang , Yuheng Chen , Yun Zhang , Xiujuan Zheng

Photoplethysmography (PPG) is one of the most widely captured biosignals for clinical prediction tasks, yet PPG-based algorithms are typically trained on small-scale datasets of uncertain quality, which hinders meaningful algorithm…

Machine Learning · Computer Science 2026-03-24 Mohammad Moulaeifard , Philip J. Aston , Peter H. Charlton , Nils Strodthoff

Vital signs, such as heart rate (HR), heart rate variability (HRV), respiratory rate (RR), are important indicators for a person's health. Vital signs are traditionally measured with contact sensors, and may be inconvenient and cause…

Image and Video Processing · Electrical Eng. & Systems 2019-11-04 Mingliang Chen , Qiang Zhu , Harrison Zhang , Min Wu , Quanzeng Wang

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

Objective. Wearable devices with embedded photoplethysmography (PPG) enable continuous non-invasive monitoring of cardiac activity, offering a promising strategy to reduce the global burden of cardiovascular diseases. However, monitoring…

Signal Processing · Electrical Eng. & Systems 2025-08-15 Giulio Basso , Xi Long , Reinder Haakma , Rik Vullings

Remote physiological measurements, e.g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under the application…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Xuesong Niu , Zitong Yu , Hu Han , Xiaobai Li , Shiguang Shan , Guoying Zhao

Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic respiratory ailments is seldom used outside the intensive care ward due to the large…

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…

Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the need for HR estimation from ultra-short video clips. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Pei-Kai Huanga , Ya-Ting Chan , Kuan-Wen Chen , Yen-Chun Chou , Shih-Yu Yang , Chiou-Ting Hsu

Continuous monitoring of blood pressure (BP)can help individuals manage their chronic diseases such as hypertension, requiring non-invasive measurement methods in free-living conditions. Recent approaches fuse Photoplethysmograph (PPG) and…

Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Cecilia G. Morales , Fanurs Chi En Teh , Kai Li , Pushpak Agrawal , Artur Dubrawski

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

Heart rate is a physiological signal that provides information about an individual's health and affective state. Remote photoplethysmography (rPPG) allows the estimation of this signal from video recordings of a person's face. Classical…

Machine Learning · Computer Science 2025-03-18 Bhargav Acharya , William Saakyan , Barbara Hammer , Hanna Drimalla

Respiratory rate (RR) is a clinical sign representing ventilation. An abnormal change in RR is often the first sign of health deterioration as the body attempts to maintain oxygen delivery to its tissues. There has been a growing interest…

Machine Learning · Computer Science 2021-08-03 Seyed Amir Hossein Aqajari , Rui Cao , Amir Hosein Afandizadeh Zargari , Amir M. Rahmani

Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements have been shown to achieve good…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Zhaodong Sun , Xiaobai Li

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart rate variability, blood pressure, and respiration rate. PPG…

Smartwatches have become popular for monitoring physiological parameters outside clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can non-invasively estimate heart rate (HR) in everyday environments and…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Manuel Meier , Christian Holz

Photoplethysmography (PPG) is a widely used non-invasive physiological sensing technique, suitable for various clinical applications. Such clinical applications are increasingly supported by machine learning methods, raising the question of…

In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from facial videos is a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Kegang Wang , Yantao Wei , Jiankai Tang , Yuntao Wang , Mingwen Tong , Jie Gao , Yujian Ma , Zhongjin Zhao
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