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This research presents a novel method for noninvasive arterial blood pressure ABP prediction using speech signals employing a BERT based regression model Arterial blood pressure is a vital indicator of cardiovascular health and accurate…

Machine Learning · Computer Science 2025-09-25 Kainat

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

In order to obtain insights into the feasibility of replacing ECG-guided triggering in magnetic resonance imaging (MRI) by a system based on video photoplethysmography (PPG), PPG and ECG data were collected from volunteers in an MRI…

Signal Processing · Electrical Eng. & Systems 2023-06-19 A. C. den Brinker , H. H. Der Sarkissian , J. H. Wülbern , B. Balmaekers , M. Padalko , J. Sénégas , R. Springorum , C. Possanzini

Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions -- whereas green is commonly used for metrics such as heart rate…

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

Blood pressure (BP) measurement is crucial for daily health assessment. Remote photoplethysmography (rPPG), which extracts pulse waves from face videos captured by a camera, has the potential to enable convenient BP measurement without…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Yusuke Akamatsu , Akinori F. Ebihara , Terumi Umematsu

Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras. The COVID-19…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

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…

Imaging photoplethysmography (iPPG) can be used for heart rate monitoring during driving, which is expected to reduce traffic accidents by continuously assessing drivers' physical condition. Deep learning-based iPPG methods using…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Yuqi Tu , Shakith Fernando , Mark van Gastel

Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple…

Other Computer Science · Computer Science 2015-07-22 Zhilin Zhang

Wearable physiological monitors are ubiquitous, and photoplethysmography (PPG) is the standard low-cost sensor for measuring cardiac activity. Metrics such as inter-beat interval (IBI) and pulse-rate variability (PRV) -- core markers of…

Other Computer Science · Computer Science 2025-10-08 Yuna Watanabe , Natasha Yamane , Aarti Sathyanarayana , Varun Mishra , Matthew S. Goodwin

Photoplethysmography (PPG) devices are widely used for monitoring cardiovascular function. However, these devices require skin contact, which restrict their use to at-rest short-term monitoring using single-point measurements.…

Photoplethysmography (PPG) signal comprises physiological information related to cardiorespiratory health. However, while recording, these PPG signals are easily corrupted by motion artifacts and body movements, leading to noise enriched,…

Signal Processing · Electrical Eng. & Systems 2022-10-11 Tamaghno Chatterjee , Aayushman Ghosh , Sayan Sarkar

Photoplethsmography (PPG)-based individual identification aiming at recognizing humans via intrinsic cardiovascular activities has raised extensive attention due to its high security and resistance to mimicry. However, this kind of…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Riling Wei , Hanjie Chen , Kelu Yao , Chuanguang Yang , Jun Wang , Chao Li

Diabetes is a serious chronic metabolic disease. In the recent years, more and more consumer technology enterprises focusing on human health are committed to implementing accurate and non-invasive blood glucose algorithm in their products.…

Machine Learning · Computer Science 2025-03-05 Yiting Wei , Bingo Wing-Kuen Ling , Qing Liu , Jiaxin Liu

Objective: The paper focuses on development of robust and accurate processing solutions for continuous and cuff-less blood pressure (BP) monitoring. In this regard, a robust deep learning-based framework is proposed for computation of low…

Machine Learning · Computer Science 2022-01-03 Soheil Zabihi , Elahe Rahimian , Fatemeh Marefat , Amir Asif , Pedram Mohseni , Arash Mohammadi

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

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

Continuous blood pressure (BP) monitoring is essential for timely diagnosis and intervention in critical care settings. However, BP varies significantly across individuals, this inter-patient variability motivates the development of…

Machine Learning · Computer Science 2024-09-10 Cheng Wan , Chenjie Xie , Longfei Liu , Dan Wu , Ye Li

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

Remote photoplethysmography (rPPG) enables non-contact measurement of physiological signals from facial videos, offering strong potential for remote healthcare and daily health monitoring. Driven by this potential, various deep…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Jun Seong Lee , Samyeul Noh , Changki Sung , Hyun Myung
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