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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

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…

Tracking biosignals is crucial for monitoring wellness and preempting the development of severe medical conditions. Today, wearable devices can conveniently record various biosignals, creating the opportunity to monitor health status…

Machine Learning · Computer Science 2024-03-07 Salar Abbaspourazad , Oussama Elachqar , Andrew C. Miller , Saba Emrani , Udhyakumar Nallasamy , Ian Shapiro

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

Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, underscoring the importance of accurate and scalable diagnostic systems. Electrocardiogram (ECG) analysis is central to detecting cardiac abnormalities, yet…

Machine Learning · Computer Science 2025-09-12 Md. Sajeebul Islam Sk. , Md Jobayer , Md Mehedi Hasan Shawon , Md. Golam Raibul Alam

Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning…

Systems and Control · Electrical Eng. & Systems 2024-11-22 Yongyang Tang , Zhe Chen , Ang Li , Tianyue Zheng , Zheng Lin , Jia Xu , Pin Lv , Zhe Sun , Yue Gao

Recent biosignal foundation models (FMs) have demonstrated promising performance across diverse clinical prediction tasks, yet systematic evaluation on long-duration multimodal data remains limited. We introduce SignalMC-MED, a benchmark…

Machine Learning · Computer Science 2026-03-11 Fredrik K. Gustafsson , Xiao Gu , Mattia Carletti , Patitapaban Palo , David W. Eyre , David A. Clifton

Background: Artificial intelligence enabled electrocardiography (AI-ECG) has demonstrated the ability to detect diverse pathologies, but most existing models focus on single disease identification, neglecting comorbidities and future risk…

Signal Processing · Electrical Eng. & Systems 2026-01-19 Jun Li , Hongling Zhu , Yujie Xiao , Qinghao Zhao , Yalei Ke , Gongzheng Tang , Guangkun Nie , Deyun Zhang , Jin Li , Canqing Yu , Shenda Hong

Biosignals acquired from different locations on the body often provide temporally ordered views of the same underlying physiological process. However, most existing self supervised learning methods treat these signals as interchangeable…

Physiological signals such as electrocardiograms (ECG) and electroencephalograms (EEG) provide complementary insights into human health and cognition, yet multi-modal integration is challenging due to limited multi-modal labeled data, and…

Cardiovascular disease remains the leading cause of death globally, underscoring the need for effective, accessible monitoring solutions, particularly through wearable devices that enable continuous, real-time tracking of heart rhythms in…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Maedeh H. Toosi , Siamak Mohammadi

An important paradigm in smart health is developing diagnosis tools and monitoring a patient's heart activity through processing Electrocardiogram (ECG) signals is a key example, sue to high mortality rate of heart-related disease. However,…

Signal Processing · Electrical Eng. & Systems 2018-11-02 Jiaming Chen , Ali Valehi , Abolfazl Razi

Cardiovascular signals such as photoplethysmography (PPG), electrocardiography (ECG), and blood pressure (BP) are inherently correlated and complementary, together reflecting the health of cardiovascular system. However, their joint…

Machine Learning · Computer Science 2025-08-22 Zehua Chen , Yuyang Miao , Liyuan Wang , Luyun Fan , Danilo P. Mandic , Jun Zhu

Modern wearable devices can conveniently record various biosignals in the many different environments of daily living, enabling a rich view of individual health. However, not all biosignals are the same: high-fidelity biosignals, such as…

Machine Learning · Computer Science 2025-02-03 Salar Abbaspourazad , Anshuman Mishra , Joseph Futoma , Andrew C. Miller , Ian Shapiro

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

Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) provides gold-standard insights into cardiac structure and…

Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk assessment is indispensable. Traditional approaches rely on…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Sergio González , Abel Ko-Chun Yi , Wan-Ting Hsieh , Wei-Chao Chen , Chun-Li Wang , Victor Chien-Chia Wu , Shang-Hung Chang

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

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

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
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