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Diabetes cases worldwide have risen steadily over the past decades, lending urgency to the search for more efficient, effective, and personalized ways to treat the disease. Current treatment strategies, however, may fail to maintain…

Tissues and Organs · Quantitative Biology 2014-03-05 S. M. Kissler , C. Cichowitz , S. Sankaranarayanan , D. M. Bortz

Remote monitoring of cardiovascular diseases plays an essential role in early detection of abnormal cardiac function, enabling timely intervention, improved preventive care, and personalized patient treatment. Abnormalities in the heart…

Audio and Speech Processing · Electrical Eng. & Systems 2025-11-07 Vladimir Despotovic , Peter Pocta , Andrej Zgank

Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these…

Signal Processing · Electrical Eng. & Systems 2020-10-05 Ahmed Imtiaz Humayun , Shabnam Ghaffarzadegan , Md. Istiaq Ansari , Zhe Feng , Taufiq Hasan

Electrocardiogram (ECG) is one of the non-invasive and low-risk methods to monitor the condition of the human heart. Any abnormal pattern(s) in the ECG signal is an indicative measure of malfunctioning of the heart, termed as arrhythmia.…

Signal Processing · Electrical Eng. & Systems 2018-10-10 Sai Manoj Pudukotai Dinakarrao , Matthias Wess

The generation of high-quality medical time series data is essential for advancing healthcare diagnostics and safeguarding patient privacy. Specifically, synthesizing realistic phonocardiogram (PCG) signals offers significant potential as a…

Machine Learning · Computer Science 2024-12-24 Ainaz Jamshidi , Muhammad Arif , Sabir Ali Kalhoro , Alexander Gelbukh

Optogenetics has emerged as a powerful tool for disease modeling, enabling precise control of cellular activities through light stimulation and providing a valuable insights into disease mechanisms and therapeutic possibilities. Innovative…

Machine learning methods provide a methodological innovation that can help screen for cardiovascular disease through noninvasive and readily available measurement modalities. Recent investments in using electrocardiogram (ECG) data to…

Quantitative Methods · Quantitative Biology 2026-05-25 Mitchel J. Colebank

Atrial arrhythmia can be categorized into tachycardia, flutter, and fibrillation. Atrial fibrillation is a prevalent heart disease that results in weak and irregular contractions of the atria. It affects millions people worldwide and…

Medical Physics · Physics 2024-02-01 Jiyue He

The heart sound signals (Phonocardiogram - PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess heart hemodynamic…

Signal Processing · Electrical Eng. & Systems 2019-02-21 Serkan Kiranyaz , Morteza Zabihi , Ali Bahrami Rad , Anas Tahir , Turker Ince , Ridha Hamila , Moncef Gabbouj

Ultrasound irradiation is a commonly used technique for non-destructive diagnostics or targeted destruction. We report on a new versatile sonication device that fits in a variety of standard sample environments for neutron and X-ray…

Soft Condensed Matter · Physics 2018-01-26 Sudipta Gupta , Markus Bleuel , Gerald J. Schneider

Congenital Heart Disease (CHD) remains a significant global health concern affecting approximately 1\% of births worldwide. Phonocardiography has emerged as a supplementary tool to diagnose CHD cost-effectively. However, the performance of…

Signal Processing · Electrical Eng. & Systems 2026-01-19 Lizy Abraham , Siobhan Coughlan , Kritika Rajain , Changhong Li , Saji Philip , Adam James

The high rate of false alarms in intensive care units (ICUs) is one of the top challenges of using medical technology in hospitals. These false alarms are often caused by patients' movements, detachment of monitoring sensors, or different…

Machine Learning · Computer Science 2019-04-19 Behzad Ghazanfari , Fatemeh Afghah , Kayvan Najarian , Sajad Mousavi , Jonathan Gryak , James Todd

In recent years, coronary artery disease is escalating and is likely to assume an epidemic proportion by 2030. Currently the reliable methods for detection of coronary arterial lesions are either conventional coronary angiogram (CAG) or…

Ultrasound imaging of the heart (echocardiography) is widely used to diagnose cardiac diseases. However, obtaining an echocardiogram requires an expert sonographer and a high-quality ultrasound imaging device, which are generally only…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Andy Dimnaku , Dominic Yurk , Zhiyuan Gao , Arun Padmanabhan , Mandar Aras , Yaser Abu-Mostafa

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

Electrocardiogram recognition of cardiac arrhythmias is critical for cardiac abnormality diagnosis. Because of their strong prediction characteristics, artificial neural networks are the preferred method in medical diagnosis systems. This…

Signal Processing · Electrical Eng. & Systems 2021-04-16 N. Korucuk , C. Polat , E. S. Gunduz , O. Karaman , V. Tosun , M. Onac , N. Yildirim , Y. Cete , K. Polat

This study presents a novel methodology for stratifying post-myocardial infarction patients at risk of ventricular arrhythmias using patient-specific 3D cardiac models derived from late gadolinium enhancement cardiovascular magnetic…

Computational Engineering, Finance, and Science · Computer Science 2024-09-11 Dolors Serra , Pau Romero , Paula Franco , Ignacio Bernat , Miguel Lozano , Ignacio Garcia-Fernandez , David Soto , Antonio Berruezo , Oscar Camara , Rafael Sebastian

The human ear offers a unique opportunity for cardiac monitoring due to its physiological and practical advantages. However, existing earable solutions require additional hardware and complex processing, posing challenges for commercial…

Human-Computer Interaction · Computer Science 2025-01-14 Yongjian Fu , Ke Sun , Ruyao Wang , Xinyi Li , Ju Ren , Yaoxue Zhang , Xinyu Zhang

Patients at high risk for sudden death often exhibit complex heart rhythms in which abnormal heartbeats are interspersed with normal heartbeats. We analyze such a complex rhythm in a single patient over a 12-hour period and show that the…

High intensity focused ultrasound is a non-invasive method for treatment of diseased tissue that uses a beam of ultrasound to generate heat within a small volume. A common challenge in application of this technique is that heterogeneity of…