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Related papers: PPG-to-ECG Signal Translation for Continuous Atria…

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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 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

We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions. We collect and annotate a dataset containing more than 4000 hours of PPG…

Medical Physics · Physics 2018-11-29 Maxime Voisin , Yichen Shen , Alireza Aliamiri , Anand Avati , Awni Hannun , Andrew Ng

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann

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

Electrocardiogram (ECG) is the electrical measurement of cardiac activity, whereas Photoplethysmogram (PPG) is the optical measurement of volumetric changes in blood circulation. While both signals are used for heart rate monitoring, from a…

Machine Learning · Computer Science 2020-12-16 Pritam Sarkar , Ali Etemad

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant health ramifications, including an elevated susceptibility to ischemic stroke, heart disease, and heightened mortality. Photoplethysmography (PPG) has…

Signal Processing · Electrical Eng. & Systems 2023-10-24 Cheng Ding , Ran Xiao , Weijia Wang , Elizabeth Holdsworth , Xiao Hu

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

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

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

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

Photoplethysmography (PPG) is widely used as a non-invasive and accessible modality for continuous health monitoring. However, despite being a peripheral hemodynamic signal intrinsically coupled with systemic circulation, existing research…

Signal Processing · Electrical Eng. & Systems 2026-03-20 Guangkun Nie , Xiaocheng Fang , Gongzheng Tang , Yujie Xiao , Jun Li , Bo Liu , Hongyan Li , Shenda Hong

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

Photoplethysmography (PPG) is a ubiquitous physiological measurement that detects beat-to-beat pulsatile blood volume changes and hence has a potential for monitoring cardiovascular conditions, particularly in ambulatory settings. A PPG…

Signal Processing · Electrical Eng. & Systems 2022-02-01 Cheng Ding , Ran Xiao , Duc Do , David Scott Lee , Shadi Kalantarian , Randall J Lee , Xiao Hu

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

Photoplethysmography (PPG) refers to the measurement of variations in blood volume using light and is a feature of most wearable devices. The PPG signals provide insight into the body's circulatory system and can be employed to extract…

Signal Processing · Electrical Eng. & Systems 2024-01-17 Yuyang Miao , Harry J. Davies , Danilo P. Mandic

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…

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…

Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers a practical pathway toward scalable cardiovascular health assessment. Despite rapid progress, existing PPG-based blood pressure estimation…

Machine Learning · Computer Science 2026-02-05 Neville Mathew , Yidan Shen , Renjie Hu , Maham Rahimi , George Zouridakis

Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG morphological…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Seyede Mahya Safavi , Ninaz Valisharifabad , Robert Sabino , Hsinchung Chen , Ali HeydariGorji , Demi Tran , Jack Lin , Beth Lopour , Pai H. Chou
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