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Deformation modeling of cardiac muscle is an important issue in the field of cardiac analysis. Many approaches have been developed to better estimate the cardiac muscle deformation, and to obtain a practical model to be used in diagnostic…

Computational Engineering, Finance, and Science · Computer Science 2015-12-01 Ahmadreza Baghaie , Hamid Abrishami Moghaddam

Early and optimal identification of cardiac anomalies, especially Myocardial infarction (MCI) can aid the individual in obtaining prompt medical attention to mitigate the severity. Electrocardiogram (ECG) is a simple non-invasive…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Srikireddy Dhanunjay Reddy , Pujayita Deb , Tharun Kumar Reddy Bollu

Automatic myocardial segmentation of contrast echocardiography has shown great potential in the quantification of myocardial perfusion parameters. Segmentation quality control is an important step to ensure the accuracy of segmentation…

Image and Video Processing · Electrical Eng. & Systems 2021-09-16 Dewen Zeng , Yukun Ding , Haiyun Yuan , Meiping Huang , Xiaowei Xu , Jian Zhuang , Jingtong Hu , Yiyu Shi

An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record…

Machine Learning · Statistics 2018-12-04 Andrew C. Miller , Ziad Obermeyer , David M. Blei , John P. Cunningham , Sendhil Mullainathan

Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of the cardiovascular system. Recently, there has been a great attention towards accurate categorization of heartbeats. While there are many…

Computers and Society · Computer Science 2018-11-06 Mohammad Kachuee , Shayan Fazeli , Majid Sarrafzadeh

The Electrocardiograph signal represents the heart's electrical activity while blood pressure results from the heart's mechanical activity. Previous studies have investigated how the heart's electrical and mechanical activities are related…

Signal Processing · Electrical Eng. & Systems 2020-08-25 Seyedeh Somayyeh Mousavi , Mostafa Charmi , Mohammad Firouzmand , Mohammad Hemmati , Maryam Moghadam , Yadollah Ghorbani

Left ventricular ejection fraction (LVEF) is the most important clinical parameter of cardiovascular function. The accuracy in estimating this parameter is highly dependent upon the precise segmentation of the left ventricle (LV) structure…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Narjes Benameur , Ramzi Mahmoudi , Mohamed Deriche , Amira fayouka , Imene Masmoudi , Nessrine Zoghlami

Echocardiography is the most widely used cardiac imaging modality, capturing ultrasound video data to assess cardiac structure and function. Artificial intelligence (AI) in echocardiography has the potential to streamline manual tasks and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Milos Vukadinovic , Xiu Tang , Neal Yuan , Paul Cheng , Debiao Li , Susan Cheng , Bryan He , David Ouyang

Electrocardiogram is a useful diagnostic signal that can detect cardiac abnormalities by measuring the electrical activity generated by the heart. Due to its rapid, non-invasive, and richly informative characteristics, ECG has many emerging…

Machine Learning · Computer Science 2025-12-09 Hanhui Deng , Xinglin Li , Jie Luo , Di Wu

Cardiac function assessment aims at predicting left ventricular ejection fraction (LVEF) given an echocardiogram video, which requests models to focus on the changes in the left ventricle during the cardiac cycle. How to assess cardiac…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Guanqi Chen , Guanbin Li

Echocardiography is a cornerstone for managing heart failure (HF), with Left Ventricular Ejection Fraction (LVEF) being a critical metric for guiding therapy. However, manual LVEF assessment suffers from high inter-observer variability,…

Image and Video Processing · Electrical Eng. & Systems 2026-05-26 Jyun-Ping Kao , Jiaxin Yang , C. -C. Jay Kuo , Jonghye Woo

This work discusses the use of contrastive learning and deep learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals. While the ECG signals usually contain 12 leads (channels), many healthcare facilities and…

Signal Processing · Electrical Eng. & Systems 2023-04-24 Tue M. Cao , Nhat H. Tran , Phi Le Nguyen , Hieu Pham

Echocardiography is the most widely used imaging to monitor cardiac functions, serving as the first line in early detection of myocardial ischemia and infarction. However, echocardiography often suffers from several artifacts including…

Image and Video Processing · Electrical Eng. & Systems 2024-12-10 Ilke Adalioglu , Serkan Kiranyaz , Mete Ahishali , Aysen Degerli , Tahir Hamid , Rahmat Ghaffar , Ridha Hamila , Moncef Gabbouj

Deformation modeling of cardiac muscle is an important issue in the field of cardiac analysis. For this reason, many approaches have been developed to best estimate the cardiac muscle deformation, and to obtain a practical model to use in…

Computational Engineering, Finance, and Science · Computer Science 2014-12-09 Ahmadreza Baghaie , Hamid Abrishami Moghaddam

The electrocardiogram (ECG) is routinely used in hospitals to analyze cardiovascular status and health of an individual. Abnormal heart rhythms can be a precursor to more serious conditions including sudden cardiac death. Classifying…

Signal Processing · Electrical Eng. & Systems 2022-07-15 Neville D. Gai

Electrocardiograms (ECGs), a medical monitoring technology recording cardiac activity, are widely used for diagnosing cardiac arrhythmia. The diagnosis is based on the analysis of the deformation of the signal shapes due to irregular heart…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Parshuram N. Aarotale , Ajita Rattani

Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances in machine learning and deep learning, multiple approaches…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Paula Ruiz-Barroso , Francisco M. Castro , José Miranda , Denisa-Andreea Constantinescu , David Atienza , Nicolás Guil

Purpose: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function. However, delineation of the left ventricle is challenging due to the inherent properties of ultrasound…

Image and Video Processing · Electrical Eng. & Systems 2021-09-07 Deepa Krishnaswamy , Abhilash R. Hareendranathan , Tan Suwatanaviroj , Pierre Boulanger , Harald Becher , Michelle Noga , Kumaradevan Punithakumar

Monitoring the activity of the heart is important for diagnosing and preventing cardiovascular diseases. The electrocardiogram (ECG) is the gold standard for diagnosing such diseases. It monitors the heart's electrical activity, and while…

Signal Processing · Electrical Eng. & Systems 2023-09-19 Rémi Grisot , Pierre Laurent , Claire Migliaccio , Jean-Yves Dauvignac , Mélanie Brulc , Camille Chiquet , Jean-Paul Caruana

Left ventricular (LV) function is an important factor in terms of patient management, outcome, and long-term survival of patients with heart disease. The most recently published clinical guidelines for heart failure recognise that over…

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