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In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications. RhythmEdge benefits over existing approaches by facilitating contact-less nature,…

Machine Learning · Computer Science 2022-08-16 Zahid Hasan , Emon Dey , Sreenivasan Ramasamy Ramamurthy , Nirmalya Roy , Archan Misra

Heart rate is an important vital sign used in the diagnosis of many medical conditions. Conventionally, heart rate is measured using a medical device such as pulse oxymeter. Physiological parameters such as heart rate bear a correlation to…

Audio and Speech Processing · Electrical Eng. & Systems 2020-02-27 Mohammed Usman , Zeeshan Ahmad , Mohd Wajid

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

Maintaining good cardiac function for as long as possible is a major concern for healthcare systems worldwide and there is much interest in learning more about the impact of different risk factors on cardiac health. The aim of this study is…

Machine Learning · Computer Science 2021-06-24 Esther Puyol-Antón , Bram Ruijsink , James R. Clough , Ilkay Oksuz , Daniel Rueckert , Reza Razavi , Andrew P. King

Structural heart disease (SHD) is a prevalent condition with many undiagnosed cases, and early detection is often limited by the high cost and accessibility constraints of echocardiography (ECHO). Recent studies show that artificial…

Applications · Statistics 2026-03-04 Ya Zhou , Zhaohong Sun , Tianxiang Hao , Xiangjie Li

Electrocardiogram (ECG) is the most frequent and routine diagnostic tool used for monitoring heart electrical signals and evaluating its functionality. The human heart can suffer from a variety of diseases, including cardiac arrhythmias.…

Signal Processing · Electrical Eng. & Systems 2022-09-05 Negin Alamatsaz , Leyla s Tabatabaei , Mohammadreza Yazdchi , Hamidreza Payan , Nima Alamatsaz , Fahimeh Nasimi

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

Despite the population of the noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable algorithm which is able to simultaneously extract from a…

Neurons and Cognition · Quantitative Biology 2017-09-05 Antonio Cicone , Hau-Tieng Wu

Continuous and noninvasive monitoring of blood pressure has numerous clinical and fitness applications. Current methods of continuous measurement of blood pressure are either invasive and/or require expensive equipment. Therefore, we…

Signal Processing · Electrical Eng. & Systems 2018-11-16 Armin Soltan Zadi , Raichel Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Arrhythmia, an abnormal cardiac rhythm, is one of the most common types of cardiac disease. Automatic detection and classification of arrhythmia can be significant in reducing deaths due to cardiac diseases. This work proposes a multi-class…

Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation models (FMs) have been proposed to offer insights into…

Heartbeat interval can be detected from ballistocardiogram (BCG) signals in a non-contact manner. Conventional methods achieved heartbeat detection from different perspectives, where template matching (TM) and deep learning (DL) were based…

Signal Processing · Electrical Eng. & Systems 2026-01-06 Dongli Cai , Xihe Chen , Yaosheng Chen , Hong Xian , Baoxian Yu , Han Zhang

The high prevalence of cardiovascular diseases (CVDs) calls for accessible and cost-effective continuous cardiac monitoring tools. Despite Electrocardiography (ECG) being the gold standard, continuous monitoring remains a challenge, leading…

Signal Processing · Electrical Eng. & Systems 2023-12-29 Debaditya Shome , Pritam Sarkar , Ali Etemad

Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases. Segmentation of the ECG signal to locate its constitutive waves, in particular the R-peaks, is a key step in ECG…

Signal Processing · Electrical Eng. & Systems 2020-04-29 Atiyeh Fotoohinasab , Toby Hocking , Fatemeh Afghah

The processing of ECG signal provides a wealth of information on cardiac function and overall cardiovascular health. While multi-lead ECG recordings are often necessary for a proper assessment of cardiac rhythms, they are not always…

Applications · Statistics 2016-11-23 Christophe L. Herry , Martin Frasch , Andrew JE Seely , Hau-tieng Wu

Cardiac biosignals, such as electrocardiograms (ECG) and photoplethysmograms (PPG), are of paramount importance for the diagnosis, prevention, and management of cardiovascular diseases, and have been extensively used in a variety of…

With tens of thousands of electrocardiogram (ECG) records processed by mobile cardiac event recorders every day, heart rhythm classification algorithms are an important tool for the continuous monitoring of patients at risk. We utilise an…

Machine Learning · Computer Science 2020-12-14 Patrick Schwab , Gaetano Scebba , Jia Zhang , Marco Delai , Walter Karlen

Wrist-worn smart devices are providing increased insights into human health, behaviour and performance through sophisticated analytics. However, battery life, device cost and sensor performance in the face of movement-related artefact…

Signal Processing · Electrical Eng. & Systems 2020-04-02 Eoin Brophy , Willie Muehlhausen , Alan F. Smeaton , Tomas E. Ward

Stress has emerged as a critical global health issue, contributing to cardiovascular disorders, depression, and several other long-term illnesses. Consequently, accurate and reliable stress monitoring systems are of growing importance. In…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Md. Mohibbul Haque Chowdhury , Nafisa Anjum , Md. Rokonuzzaman Mim

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