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While cardiovascular diseases (CVDs) are prevalent across economic strata, the economically disadvantaged population is disproportionately affected due to the high cost of traditional CVD management. Accordingly, developing an…

Machine Learning · Computer Science 2017-05-25 Bollepalli S. Chandra , Challa S. Sastry , Laxminarayana Anumandla , Soumya Jana

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

Cardiovascular disease accounts for 1 in every 4 deaths in United States. Accurate estimation of structural and functional cardiac parameters is crucial for both diagnosis and disease management. In this work, we develop an ensemble…

Computer Vision and Pattern Recognition · Computer Science 2021-03-24 Jiasha Liu , Xiang Li , Hui Ren , Quanzheng Li

Cardiac magnetic resonance (CMR) images play a growing role in the diagnostic imaging of cardiovascular diseases. Full coverage of the left ventricle (LV), from base to apex, is a basic criterion for CMR image quality and necessary for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-09 Le Zhang , Ali Gooya , Marco Pereanez , Bo Dong , Stefan K. Piechnik , Stefan Neubauer , Steffen E. Petersen , Alejandro F. Frangi

A central problem in biomechanical studies of personalised human left ventricular (LV) modelling is estimating the material properties and biophysical parameters from in-vivo clinical measurements in a time frame suitable for use within a…

Applications · Statistics 2019-05-16 Vinny Davies , Umberto Noè , Alan Lazarus , Hao Gao , Benn Macdonald , Colin Berry , Xiaoyu Luo , Dirk Husmeier

We present a new method for measuring global longitudinal strain and global longitudinal strain rate from 2D echocardiograms using a logarithmic-transform correlation (LTC) method. In contrast to traditional echocardiography strain…

Medical Physics · Physics 2021-05-26 Brett A. Meyers , Melissa C. Brindise , Vivek Jani , Shelby Kutty , Pavlos P. Vlachos

Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. However, such metrics only approximate the complex 3D structure…

Computer Vision and Pattern Recognition · Computer Science 2023-07-17 Marcel Beetz , Yilong Yang , Abhirup Banerjee , Lei Li , Vicente Grau

Acute myocardial infarction (AMI) is one of the most severe manifestation of coronary artery disease. ST-segment elevation myocardial infarction (STEMI) is the most serious type of AMI. We proposed to develop a machine learning algorithm…

Quantitative Methods · Quantitative Biology 2022-11-29 Ding Tao , Chen Liu , Shihan Wan

Ventricular arrhythmias comprise a group of disorders which manifest clinically in a variety of ways from ventricular premature beats (VPB) and no sustained ventricular tachycardia (in healthy subjects) to sudden cardiac death due to…

In this paper, we propose a novel statistical index for the early diagnosis of ventricular arrhythmia (VA) using the time delay phase-space reconstruction (PSR) technique, from the electrocardiogram (ECG) signal. Patients with two classes…

Ejection fraction (EF) of the left ventricle (LV) is considered as one of the most important measurements for diagnosing acute heart failure and can be estimated during cardiac ultrasound acquisition. While recent successes in deep learning…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sarina Thomas , Qing Cao , Anna Novikova , Daria Kulikova , Guy Ben-Yosef

Left ventricular diastolic dysfunction (LVDD) is a group of diseases that adversely affect the passive phase of the cardiac cycle and can lead to heart failure. While left ventricular end-diastolic pressure (LVEDP) is a valuable prognostic…

Tissues and Organs · Quantitative Biology 2025-01-23 Emilio A. Mendiola , Raza Rana Mehdi , Dipan J. Shah , Reza Avazmohammadi

Objectives: Atrial fibrillation (AF) is a common heart rhythm disorder associated with deadly and debilitating consequences including heart failure, stroke, poor mental health, reduced quality of life and death. Having an automatic system…

Signal Processing · Electrical Eng. & Systems 2018-01-31 Philip Warrick , Masun Nabhan Homsi

The electrocardiogram or ECG has been in use for over 100 years and remains the most widely performed diagnostic test to characterize cardiac structure and electrical activity. We hypothesized that parallel advances in computing power,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-10 Geoffrey H. Tison , Jeffrey Zhang , Francesca N. Delling , Rahul C. Deo

Hyper-trabeculation or non-compaction in the left ventricle of the myocardium (LVNC) is a recently classified form of cardiomyopathy. Several methods have been proposed to quantify the trabeculae accurately in the left ventricle, but there…

Image and Video Processing · Electrical Eng. & Systems 2024-02-13 Gregorio Bernabé , Pilar González-Férez , José M. García , Guillem Casas , Josefa González-Carrillo

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…

Sound · Computer Science 2024-05-08 Zixing Zhang , Tao Pang , Jing Han , Björn W. Schuller

Electrocardiogram (ECG) signal is a common and powerful tool to study heart function and diagnose several abnormal arrhythmias. While there have been remarkable improvements in cardiac arrhythmia classification methods, they still cannot…

Quantitative Methods · Quantitative Biology 2019-03-14 Sajad Mousavi , Fatemeh Afghah , U. Rajendra Acharya

Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoBs. Methods: Body surface potentials were computed for 137…

Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to achieve high performance, e.g. using 10,030 labeled…

Computer Vision and Pattern Recognition · Computer Science 2022-12-19 Weihang Dai , Xiaomeng Li , Xinpeng Ding , Kwang-Ting Cheng

Motion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function. However, the current diagnosis cannot build an automatic scheme, as there are three fundamental obstructs: Firstly, there is…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Ching-Hsun Tseng , Shao-Ju Chien , Po-Shen Wang , Shin-Jye Lee , Wei-Huan Hu , Bin Pu , Xiao-jun Zeng