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Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can support physicians in their decisions. Unfortunately, the…

Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult…

声音 · 计算机科学 2021-08-10 Erika Bondareva , Jing Han , William Bradlow , Cecilia Mascolo

Cardiovascular diseases are the leading cause of deaths and severely threaten human health in daily life. On the one hand, there have been dramatically increasing demands from both the clinical practice and the smart home application for…

声音 · 计算机科学 2021-01-14 Zhao Ren , Kun Qian , Fengquan Dong , Zhenyu Dai , Yoshiharu Yamamoto , Björn W. Schuller

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detection is often limited by available diagnostics. Carotid ultrasound, a non-invasive and widely accessible modality, encodes rich structural…

Heart disease is the leading cause of death worldwide. Currently, 33% of cases are misdiagnosed, and approximately half of myocardial infarctions occur in people who are not predicted to be at risk. The use of Artificial Intelligence could…

机器学习 · 计算机科学 2020-07-28 Sahithi Ankireddy

Heart sound diagnosis and classification play an essential role in detecting cardiovascular disorders, especially when the remote diagnosis becomes standard clinical practice. Most of the current work is designed for single category based…

声音 · 计算机科学 2022-04-25 Li Guo , Steven Davenport , Yonghong Peng

Heart murmurs are a common manifestation of cardiovascular diseases and can provide crucial clues to early cardiac abnormalities. While most current research methods primarily focus on the accuracy of models, they often overlook other…

声音 · 计算机科学 2024-05-08 Zixing Zhang , Tao Pang , Jing Han , Björn W. Schuller

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…

机器学习 · 计算机科学 2020-09-29 Atandra Burman , Jitto Titus , David Gbadebo , Melissa Burman

Heart murmurs are abnormal sounds caused by turbulent blood flow in the heart. Several diagnostic methods are available to detect heart murmurs and their severity, including cardiac auscultation, echocardiography, and phonocardiography…

信号处理 · 电气工程与系统科学 2026-05-12 Md Jobayer , Md. Mehedi Hasan Shawon , Md Zakir Hossain , Shreya Ghosh , Imre Rudas , Tom Gedeon , Md Rakibul Hasan

Arrhythmias are irregularities in the hearts electrical system which cause rapid and irregular heartbeats. These heart conditions affect over 33 million people globally and significantly increase the risk of severe complications, including…

信号处理 · 电气工程与系统科学 2024-10-29 Praveen Kumar Pandian Shanmuganathan , Vatsal Sivaratri

Heart disease is the most common reason for human mortality that causes almost one-third of deaths throughout the world. Detecting the disease early increases the chances of survival of the patient and there are several ways a sign of heart…

音频与语音处理 · 电气工程与系统科学 2021-10-05 Uddipan Mukherjee , Sidharth Pancholi

Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering the increase of medical data, much pressure is put on the…

图像与视频处理 · 电气工程与系统科学 2024-05-01 Andrés Bell-Navas , Nourelhouda Groun , María Villalba-Orero , Enrique Lara-Pezzi , Jesús Garicano-Mena , Soledad Le Clainche

Congenital heart disease (CHD) is a critical condition that demands early detection, particularly in infancy and childhood. This study presents a deep learning model designed to detect CHD using phonocardiogram (PCG) signals, with a focus…

Early and reliable detection of heart murmurs is essential for the timely diagnosis of cardiovascular diseases, yet traditional auscultation remains subjective and dependent on expert interpretation. This work investigates artificial…

信号处理 · 电气工程与系统科学 2025-11-04 Andrea De Simone , Noemi Giordano , Silvia Seoni , Kristen M. Meiburger , Fabrizio Riente

Cardiovascular diseases are one of the leading cause of death in today's world and early screening of heart condition plays a crucial role in preventing them. The heart sound signal is one of the primary indicator of heart condition and can…

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

机器学习 · 计算机科学 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

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…

计算机视觉与模式识别 · 计算机科学 2022-08-16 Khiem H. Le , Hieu H. Pham , Thao B. T. Nguyen , Tu A. Nguyen , Cuong D. Do

Heart failure (HF) is a leading cause of morbidity, mortality, and health care costs. Prolonged conduction through the myocardium can occur with HF, and a device-driven approach, termed cardiac resynchronization therapy (CRT), can improve…

机器学习 · 计算机科学 2021-09-14 Brendan E. Odigwe , Francis G. Spinale , Homayoun Valafar

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majority of people experience symptoms such as exhaustion,…

Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients suffering from cardiac arrhythmia. Traditionally, diagnosis is…

信号处理 · 电气工程与系统科学 2020-04-14 Sricharan Vijayarangan , Balamurali Murugesan , Vignesh R , Preejith SP , Jayaraj Joseph , Mohansankar Sivaprakasam
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