English
Related papers

Related papers: Longitudinal Wrist PPG Analysis for Reliable Hyper…

200 papers

Heart murmurs are abnormal sounds caused by turbulent blood flow in the heart. Several diagnostic methods are available to detect heart murmurs and their severity, including cardiac auscultation, echocardiography, and phonocardiography…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Md Jobayer , Md. Mehedi Hasan Shawon , Md Zakir Hossain , Shreya Ghosh , Imre Rudas , Tom Gedeon , Md Rakibul Hasan

Mental stress poses a significant public health concern due to its detrimental effects on physical and mental well-being, necessitating the development of continuous stress monitoring tools for wearable devices. Blood volume pulse (BVP)…

Signal Processing · Electrical Eng. & Systems 2026-01-08 Md Santo Ali , Sapnil Sarker Bipro , Mohammod Abdul Motin , Sumaiya Kabir , Manish Sharma , M. E. H. Chowdhury

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

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

Large language models (LLMs) have captured significant interest from both academia and industry due to their impressive performance across various textual tasks. However, the potential of LLMs to analyze physiological time-series data…

Signal Processing · Electrical Eng. & Systems 2024-07-08 Zengding Liu , Chen Chen , Jiannong Cao , Minglei Pan , Jikui Liu , Nan Li , Fen Miao , Ye Li

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

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

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

Diagnosing pre-existing heart diseases early in life is important as it helps prevent complications such as pulmonary hypertension, heart rhythm problems, blood clots, heart failure and sudden cardiac arrest. To identify such diseases,…

Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. ECG sensing is non-invasive and relatively easy to acquire,…

Photoplethysmography (PPG) is widely used in wearable health monitoring, but its reliability is often degraded by noise and motion artifacts, limiting downstream applications such as heart rate (HR) estimation. This paper presents a deep…

Machine Learning · Computer Science 2025-10-14 I Chiu , Yu-Tung Liu , Kuan-Chen Wang , Hung-Yu Wei , Yu Tsao

Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can be used to…

Machine Learning · Computer Science 2023-03-27 Yuntong Zhang , Jingye Xu , Mimi Xie , Dakai Zhu , Houbing Song , Wei Wang

Remote photoplethysmography (rPPG) technology infers heart rate by capturing subtle color changes in facial skin using a camera, demonstrating great potential in non-contact heart rate measurement. However, measurement accuracy…

Machine Learning · Computer Science 2025-04-08 Rufei Ma , Chao Chen

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many other parameters are required. Several invasive and…

Construction workers are highly vulnerable to heat stress, yet tools that translate real-time physiological data into actionable safety intelligence remain scarce. This study addresses this gap by developing and evaluating deep learning…

Artificial Intelligence · Computer Science 2026-04-22 Syed Sajid Ullah , Amir Khan

Cardiovascular diseases (CVDs) represent significant global health challenges today, necessitating regular and reliable monitoring to enable early intervention. Phonocardiogram (PCG) signals present a promising non-invasive method for…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Abdul Ahad Mamun , Utsab Saha , Md Hasibul Hasan , Shahed Ahmed , MD Jahin Alam

This paper considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is a…

Information Theory · Computer Science 2016-09-13 Mahdi Boloursaz Mashhadi , Ehsan Asadi , Mohsen Eskandari , Shahrzad Kiani , Farrokh Marvasti

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…

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

Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure…