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An electrocardiogram (ECG) monitors the electrical activity generated by the heart and is used to detect fatal cardiovascular diseases (CVDs). Conventionally, to capture the precise electrical activity, clinical experts use multiple-lead…

Medical Physics · Physics 2023-07-24 Ekansh Chauhan , Swathi Guptha , Likith Reddy , Bapi Raju

Coronary artery disease(CAD) is the most common type of heart disease and the leading cause of death worldwide[1]. A progressive state of this disease marked by plaque rupture and clot formation in the coronary arteries, also known as an…

Machine Learning · Computer Science 2020-09-29 Atandra Burman , Jitto Titus , David Gbadebo , Melissa Burman

Electrocardiogram (ECG) is a widely used reliable, non-invasive approach for cardiovascular disease diagnosis. With the rapid growth of ECG examinations and the insufficiency of cardiologists, accurate and automatic diagnosis of ECG signals…

Machine Learning · Computer Science 2020-10-21 Dongdong Zhang , Xiaohui Yuan , Ping Zhang

Hypertension is a major risk factor for stroke, cardiovascular disease, and end-stage renal disease, and its prevalence is expected to rise dramatically. Effective hypertension management is thus critical. A particular priority is…

Computers and Society · Computer Science 2019-07-02 Ramin Mohammadi , Sarthak Jain , Stephen Agboola , Ramya Palacholla , Sagar Kamarthi , Byron C. Wallace

Background: Photoplethysmography (PPG), increasingly available through wearable devices, provides a non-invasive means of monitoring human hemodynamics. In this study, we introduce artificial intelligence-derived photoplethysmography…

Signal Processing · Electrical Eng. & Systems 2025-09-26 Guangkun Nie , Qinghao Zhao , Gongzheng Tang , Yaxin Li , Shenda Hong

Background: Chronic kidney disease (CKD), a progressive disease with high morbidity and mortality, has become a significant global public health problem. Most existing models are static and fail to capture temporal trends in disease…

Machine Learning · Computer Science 2025-10-03 Jingying Ma , Jinwei Wang , Lanlan Lu , Yexiang Sun , Mengling Feng , Feifei Zhang , Peng Shen , Zhiqin Jiang , Shenda Hong , Luxia Zhang

Recent introduction of wearable single-lead ECG devices of diverse configurations has caught the intrigue of the medical community. While these devices provide a highly affordable support tool for the caregivers for continuous monitoring…

Signal Processing · Electrical Eng. & Systems 2018-11-21 Kahkashan Afrin , Parikshit Verma , Sanjay S. Srivatsa , Satish T. S. Bukkapatnam

End-stage chronic kidney disease (CKD) patients are facing a 30% rise for the risk of lethal cardiac events (LCE) compared to non-CKD patients. At the same time, these patients undergoing dialysis experience shifts in the potassium…

Signal Processing · Electrical Eng. & Systems 2020-06-11 Nicolas Pilia , Cristiana Corsi , Stefano Severi , Olaf Dössel , Axel Loewe

Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the…

Signal Processing · Electrical Eng. & Systems 2022-01-26 Peng Wang , Zihuai Lin , Xucun Yan , Zijiao Chen , Ming Ding , Yang Song , Lu Meng

Artificial intelligence-enhanced electrocardiogram (AI-ECG) has shown promise as an inexpensive, ubiquitous, and non-invasive screening tool to detect left ventricular systolic dysfunction in pediatric congenital heart disease. However,…

Computational Engineering, Finance, and Science · Computer Science 2025-11-14 Yuting Yang , Lorenzo Peracchio , Joshua Mayourian , John K. Triedman , Timothy Miller , William G. La Cava

Hypertension (HPT) refers to a condition where the pressure exerted on the walls of arteries by blood pumped from the heart to the body reaches levels that can lead to various ailments. Annually, a significant number of lives are lost…

Signal Processing · Electrical Eng. & Systems 2023-11-08 Yunus Emre Erdoğan , Ali Narin , Walid Hariri

Echocardiographers can detect pulmonary hypertension using Doppler echocardiography; however, accurately assessing its progression often proves challenging. Right heart catheterization (RHC), the gold standard for precise evaluation, is…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Jiewen Yang , Taoran Huang , Shangwei Ding , Xiaowei Xu , Qinhua Zhao , Yong Jiang , Jiarong Guo , Bin Pu , Jiexuan Zheng , Caojin Zhang , Hongwen Fei , Xiaomeng Li

Electrocardiography (ECG) is a non-invasive tool for predicting cardiovascular diseases (CVDs). Current ECG-based diagnosis systems show promising performance owing to the rapid development of deep learning techniques. However, the label…

Signal Processing · Electrical Eng. & Systems 2023-06-21 Rushuang Zhou , Lei Lu , Zijun Liu , Ting Xiang , Zhen Liang , David A. Clifton , Yining Dong , Yuan-Ting Zhang

Heart disease is one of the most common diseases causing morbidity and mortality. Electrocardiogram (ECG) has been widely used for diagnosing heart diseases for its simplicity and non-invasive property. Automatic ECG analyzing technologies…

Machine Learning · Computer Science 2019-08-28 Yang Liu , Runnan He , Kuanquan Wang , Qince Li , Qiang Sun , Na Zhao , Henggui Zhang

Nowadays, an increasing number of people are being diagnosed with cardiovascular diseases (CVDs), the leading cause of death globally. The gold standard for identifying these heart problems is via electrocardiogram (ECG). The standard…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Khiem H. Le , Hieu H. Pham , Thao B. T. Nguyen , Tu A. Nguyen , Cuong D. Do

Traditional echocardiographic parameters such as ejection fraction (EF) and global longitudinal strain (GLS) have limitations in the early detection of cardiac dysfunction. EF often remains normal despite underlying pathology, and GLS is…

Machine Learning · Computer Science 2025-07-21 Beka Begiashvili , Carlos J. Fernandez-Candel , Matías Pérez Paredes

Chronic diseases such as cancer, diabetes, heart diseases, chronic kidney disease (CKD) require a drug management system that ensures a stable and robust output of the patient's condition in response to drug dosage. In the case of CKD, the…

Quantitative Methods · Quantitative Biology 2020-08-21 Affan Affan , Tamer Inanc

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

Early diagnosis of acute coronary artery occlusion based on electrocardiogram (ECG) findings is essential for prompt delivery of primary percutaneous coronary intervention. Current ST elevation (STE) criteria are specific but insensitive.…

AI-powered stethoscopes offer a promising alternative for screening rheumatic heart disease (RHD), particularly in regions with limited diagnostic infrastructure. Early detection is vital, yet echocardiography, the gold standard tool,…