Results 11 to 20 of about 409,490 (311)

Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023

Frontiers in Physiology, 2023
Cardiovascular diseases are a leading cause of mortality globally. Electrocardiography (ECG) still represents the benchmark approach for identifying cardiac irregularities. Automatic detection of abnormalities from the ECG can aid in the early detection,
Yaqoob Ansari, Omar Mourad, Khalid A. Qaraqe, E. Serpedin   +3 more
semanticscholar   +1 more source

Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review

Applied Sciences, 2023
Deep learning (DL) has been introduced in automatic heart-abnormality classification using ECG signals, while its application in practical medical procedures is limited.
Q. Xiao, Khuan Lee, Siti Aisah Mokhtar, Iskasymar Ismail, A. Pauzi, Qiuxia Zhang, P. Lim   +6 more
semanticscholar   +1 more source

Effect of MRI-Guided Fibrosis Ablation vs Conventional Catheter Ablation on Atrial Arrhythmia Recurrence in Patients With Persistent Atrial Fibrillation: The DECAAF II Randomized Clinical Trial.

Journal of the American Medical Association (JAMA), 2022
Importance Ablation of persistent atrial fibrillation (AF) remains a challenge. Left atrial fibrosis plays an important role in the pathophysiology of AF and has been associated with poor procedural outcomes.
N. Marrouche, O. Wazni, C. McGann, Tom H. Greene, J. Dean, Lilas Dagher, E. Kholmovski, M. Mansour, F. Marchlinski, David A. Wilber, G. Hindricks, C. Mahnkopf, Darryl Wells, P. Jais, P. Sanders, J. Brachmann, Jeroen J. Bax, Leonie Morrison-de Boer, T. Deneke, H. Calkins, C. Sohns, N. Akoum   +21 more
semanticscholar   +1 more source

Classifying Cardiac Arrhythmia from ECG Signal Using 1D CNN Deep Learning Model

Mathematics, 2023
Blood circulation depends critically on electrical activation, where any disturbance in the orderly pattern of the heart’s propagating wave of excitation can lead to arrhythmias.
A. A. Ahmed, Waleed Ali, T. A. Abdullah, S. Malebary   +3 more
semanticscholar   +1 more source

A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification

Bioengineering, 2022
Arrhythmias are defined as irregularities in the heartbeat rhythm, which may infrequently occur in a human’s life. These arrhythmias may cause potentially fatal complications, which may lead to an immediate risk of life.
Parul Madan, Vijay Singh, D. P. Singh, Manoj Diwakar, Bhaskar Pant, Avadh Kishor   +5 more
semanticscholar   +1 more source

Constrained transformer network for ECG signal processing and arrhythmia classification

BMC Medical Informatics and Decision Making, 2021
Background Heart disease diagnosis is a challenging task and it is important to explore useful information from the massive amount of electrocardiogram (ECG) records of patients. The high-precision diagnostic identification of ECG can save clinicians and
Chao Che, Peiliang Zhang, Min Zhu, Yue Qu, Bo Jin   +4 more
semanticscholar   +1 more source

Assessment of the Diagnostic Yield of Combined Cardiomyopathy and Arrhythmia Genetic Testing

JAMA cardiology, 2022
Key Points Question Does combined disease testing provide improved diagnostic yield and clinical utility for patients with a suspected genetic cardiomyopathy or arrhythmia?
Lisa M. Dellefave‐Castillo, Allison L. Cirino, T. Callis, E. Esplin, John Garcia, K. Hatchell, Britt Johnson, A. Morales, Ellen S. Regalado, S. Rojahn, M. Vatta, R. Nussbaum, Elizabeth M. McNally   +12 more
semanticscholar   +1 more source

A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Scientific Data, 2020
This newly inaugurated research database for 12-lead electrocardiogram signals was created under the auspices of Chapman University and Shaoxing People’s Hospital (Shaoxing Hospital Zhejiang University School of Medicine) and aims to enable the ...
Jianwei Zheng, Jianming Zhang, Sidy Danioko, H. Yao, Hangyuan Guo, C. Rakovski   +5 more
semanticscholar   +1 more source

Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes

JAMA cardiology, 2021
Key Points Question In patients diagnosed with atrial fibrillation before 66 years of age, what is the prevalence of disease-associated variants in susceptibility genes for inherited cardiomyopathy and arrhythmia syndromes? Findings In this cohort study,
Z. Yoneda, K. Anderson, Joseph A. Quintana, M. O’Neill, Richard A. Sims, A. Glazer, C. Shaffer, Diane M. Crawford, T. Stricker, Fei Ye, Q. Wells, L. Stevenson, G. Michaud, D. Darbar, S. Lubitz, P. Ellinor, D. Roden, M. B. Shoemaker   +17 more
semanticscholar   +1 more source

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation [PDF]

Remote Sensing, 2020
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart’s rhythmic irregularities, commonly known as arrhythmias.
Amin Ullah, S. Anwar, M. Bilal, Raja Majid Mehmood   +3 more
semanticscholar   +1 more source