English
Related papers

Related papers: ECG Reconstruction via PPG: A Pilot Study

200 papers

Reconstructing ECG from PPG is a promising yet challenging task. While recent advancements in generative models have significantly improved ECG reconstruction, accurately capturing fine-grained waveform features remains a key challenge. To…

Image and Video Processing · Electrical Eng. & Systems 2025-07-24 Xiaoyan Li , Shixin Xu , Faisal Habib , Arvind Gupta , Huaxiong Huang

Biophysical signals such as Electrocardiogram (ECG) and Photoplethysmogram (PPG) are key to the sensing of vital parameters for wellbeing. Coincidentally, ECG and PPG are signals, which provide a "different window" into the same phenomena,…

Signal Processing · Electrical Eng. & Systems 2022-02-02 Abhinandan Panda , Srinivas Pinisetty , Partha Roop

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,…

Electrocardiography (ECG), an electrical measurement which captures cardiac activities, is the gold standard for diagnosing cardiovascular disease (CVD). However, ECG is infeasible for continuous cardiac monitoring due to its requirement…

Signal Processing · Electrical Eng. & Systems 2022-12-06 Ella Lan

Simultaneous electrocardiography (ECG) and phonocardiogram (PCG) provide a comprehensive, multimodal perspective on cardiac function by capturing the heart's electrical and mechanical activities, respectively. However, the distinct and…

Machine Learning · Computer Science 2025-06-13 Sajjad Karimi , Amit J. Shah , Gari D. Clifford , Reza Sameni

This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critical task for non-invasive cardiac monitoring. While numerous public ECG-PPG datasets are available, they lack the diversity seen in image…

Signal Processing · Electrical Eng. & Systems 2025-02-26 Xiaoyan Li , Shixin Xu , Faisal Habib , Neda Aminnejad , Arvind Gupta , Huaxiong Huang

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

This paper presents a computational solution that enables continuous cardiac monitoring through cross-modality inference of electrocardiogram (ECG). While some smartwatches now allow users to obtain a 30-second ECG test by tapping a…

Signal Processing · Electrical Eng. & Systems 2024-05-20 Yuenan Li , Xin Tian , Qiang Zhu , Min Wu

The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac…

Signal Processing · Electrical Eng. & Systems 2023-01-18 Xin Tian , Qiang Zhu , Yuenan Li , Min Wu

Electrocardiography (ECG) is the clinical gold standard for cardiovascular disease (CVD) assessment, yet continuous monitoring is constrained by the need for dedicated hardware and trained personnel. Photoplethysmography (PPG) is ubiquitous…

Machine Learning · Computer Science 2026-01-22 Xiaocheng Fang , Jiarui Jin , Haoyu Wang , Che Liu , Jieyi Cai , Yujie Xiao , Guangkun Nie , Bo Liu , Shun Huang , Hongyan Li , Shenda Hong

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

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

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

Camera-based monitoring of vital signs, also known as imaging photoplethysmography (iPPG), has seen applications in driver-monitoring, perfusion assessment in surgical settings, affective computing, and more. iPPG involves sensing the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R Shenoy , Suhas Lohit , Hassan Mansour , Rama Chellappa , Tim K. Marks

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

Nowadays, the electrocardiogram (ECG) is still the most widely used signal for the diagnosis of cardiac pathologies. However, this recording is often disturbed by the powerline interference (PLI), its removal being mandatory to avoid…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Juan Rodenas , Manuel Garcia , Jose J. Rieta , Raul Alcaraz

An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record…

Machine Learning · Statistics 2018-12-04 Andrew C. Miller , Ziad Obermeyer , David M. Blei , John P. Cunningham , Sendhil Mullainathan

Cardiovascular disease is a major life-threatening condition that is commonly monitored using electrocardiogram (ECG) signals. However, these signals are often contaminated by various types of noise at different intensities, significantly…

Signal Processing · Electrical Eng. & Systems 2024-07-17 Ding Zhu , Vishnu Kabir Chhabra , Mohammad Mahdi Khalili

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

The 12-lead electrocardiogram (ECG) is the gold standard for cardiovascular monitoring, offering superior diagnostic granularity and specificity compared to photoplethysmography (PPG). However, existing 12-lead ECG systems rely on…

Machine Learning · Computer Science 2025-10-01 Hui Ji , Wei Gao , Pengfei Zhou
‹ Prev 1 2 3 10 Next ›