AIMC Topic: Bundle-Branch Block

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Successful prediction of left bundle branch block-induced cardiomyopathy and treatment effect by artificial intelligence-enabled electrocardiogram.

Pacing and clinical electrophysiology : PACE Apr 7, 2024
BACKGROUND: Left bundle branch block (LBBB) induced cardiomyopathy is an increasingly recognized disease entity.  However, no clinical testing has been shown to be able to predict such an occurrence.
Humans Artificial Intelligence Aged Male Electrocardiography Cardiomyopathies Predictive Value of Tests Bundle-Branch Block
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Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier.

Physical and engineering sciences in medicine Mar 18, 2022
Millions of people around the world are affected by arrhythmias, which are abnormal activities of the functioning of the heart. Most arrhythmias are harmful to the heart and can suddenly become life-threatening. The electrocardiogram (ECG) is an impo...
Humans Electrocardiography Support Vector Machine Ventricular Premature Complexes Bundle-Branch Block
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Bundle-Branch Block Cardiac Resynchronization Therapy Heart-Assist Devices Heart Transplantation Treatment Outcome Unsupervised Machine Learning Recovery of Function Predictive Value of Tests Signal Processing, Computer-Assisted Heart Failure Diagnosis, Computer-Assisted Time Factors Electrocardiography Middle Aged Risk Assessment Disease Progression Female Risk Factors Aged Male Ventricular Function, Left Stroke Volume Humans Retrospective Studies
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Detection of strict left bundle branch block by neural network and a method to test detection consistency.

Physiological measurement Mar 6, 2020
OBJECTIVE: To develop an automatic algorithm to detect strict left bundle branch block (LBBB) on electrocardiograms (ECG) and propose a procedure to test the consistency of neural network detections.
Humans Bundle-Branch Block Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted
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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

Journal of the American Heart Association Jul 1, 2025
BACKGROUND: Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle-branch block (LBBB) and right bundle-branch block or nonspecific intraventricular conduction delay. This categori...
Aged Male Middle Aged Humans Phenotype Female Heart Ventricles Electrocardiography Bundle-Branch Block Action Potentials Dimensionality Reduction Unsupervised Machine Learning
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AI-based prediction of left bundle branch block risk post-TAVI using pre-implantation clinical parameters.

Future cardiology Jun 1, 2025
BACKGROUND AND AIMS: Transcatheter Aortic Valve Implantation (TAVI) has revolutionized the treatment of severe aortic stenosis. Although its clinical efficacy is well established, the development of new-onset left bundle branch block (LBBB) following...
Aortic Valve Stenosis Aged Transcatheter Aortic Valve Replacement Aged, 80 and over Bundle-Branch Block Male Retrospective Studies Female Risk Assessment Humans Risk Factors Postoperative Complications Machine Learning Electrocardiography Algorithms
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Enhancing explainability in ECG analysis through evidence-based AI interpretability.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While pre-trained neural networks, e.g., for diagnosis from electrocardiograms (ECGs), are already available and show remarkable performance, their lack of transparency prevents translation to clinical practice. Recently, an explainable artificial in...
Neural Networks, Computer Artificial Intelligence Algorithms Electrocardiography Signal Processing, Computer-Assisted Humans Bundle-Branch Block
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[Automatic Identifcation of Heart Block Precise Location Based on Sparse Connection Residual Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
OBJECTIVE: To classify Right Bundle Branch Block (RBBB),Left Bundle Branch Block (LBBB) and normal ECG signals automatically.
Neural Networks, Computer Algorithms Electrocardiography Arrhythmias, Cardiac Bundle-Branch Block Humans
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A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...
Humans Neural Networks, Computer Algorithms Atrial Premature Complexes Data Interpretation, Statistical Reproducibility of Results Bundle-Branch Block Pattern Recognition, Automated Electrocardiography Sensitivity and Specificity Ventricular Premature Complexes Diagnosis, Computer-Assisted Regression Analysis Diagnosis, Differential
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