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Arrhythmias, Cardiac

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[Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia feature...
Neural Networks, Computer Classification Algorithms Algorithms Deep Learning Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans
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[The joint analysis of heart health and mental health based on continual learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are cons...
Neural Networks, Computer Machine Learning Algorithms Humans Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Mental Disorders Mental Health Cardiovascular Diseases
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LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network.

Physiological reports Sep 1, 2024
The electrocardiogram (ECG) is a fundamental and widely used tool for diagnosing cardiovascular diseases. It involves recording cardiac electrical signals using electrodes, which illustrate the functioning of cardiac muscles during contraction and re...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Arrhythmias, Cardiac Deep Learning Electrocardiography
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[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early ...
Deep Learning Electrocardiography Signal Processing, Computer-Assisted Algorithms Sensitivity and Specificity Arrhythmias, Cardiac Heart Rate Death, Sudden, Cardiac Humans Neural Networks, Computer
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ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning.

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
Electrocardiogram data provide a tremendous opportunity for the detection of various types of cardiac arrhythmia. Recent advancement in ubiquitous wearable devices with incorporated ECG sensors offers an opportunity for a real-time monitoring system ...
Humans Algorithms Supervised Machine Learning Arrhythmias, Cardiac Atrial Fibrillation Electrocardiography Signal Processing, Computer-Assisted
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A Hybrid GCN-LSTM Model for Ventricular Arrhythmia Classification Based on ECG Pattern Similarity.

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
Accurate differentiation between Ventricular Tachycardia (VT) and Ventricular Fibrillation (VF) is essential in the field of cardiology. Recent advancements in deep learning have facilitated automated arrhythmia recognition, surpassing traditional el...
Tachycardia, Ventricular Ventricular Fibrillation Humans Neural Networks, Computer Electrocardiography Algorithms Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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A CNN and Transformer Hybrid Network for Multi-Class Arrhythmia Detection from Photoplethysmography.

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
Photoplethysmography (PPG)-based arrhythmia detection methods have gained attention with wearable technology, enabling early detection of undiagnosed arrhythmias. Existing methods excel in single arrhythmia detection but struggle with multiple arrhyt...
Photoplethysmography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Neural Networks, Computer Algorithms
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Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.

Radiology. Cardiothoracic imaging Jun 1, 2024
Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of arrhythmic mitral valve prolapse (MVP). Materials and Methods This retrospective study included patients with MVP without hemodynamically significant ...
Registries Arrhythmias, Cardiac Mitral Valve Prolapse Magnetic Resonance Imaging, Cine Middle Aged Magnetic Resonance Imaging Unsupervised Machine Learning Adult Phenotype Male Retrospective Studies Female Humans
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AttBiLFNet: A novel hybrid network for accurate and efficient arrhythmia detection in imbalanced ECG signals.

Mathematical biosciences and engineering : MBE May 10, 2024
Within the domain of cardiovascular diseases, arrhythmia is one of the leading anomalies causing sudden deaths. These anomalies, including arrhythmia, are detectable through the electrocardiogram, a pivotal component in the analysis of heart diseases...
Algorithms Reproducibility of Results Electrocardiography Humans Neural Networks, Computer Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.

JAMA cardiology Apr 1, 2024
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, and sudden death. Half of patients with LQTS have a normal or borderline-normal QT interval despite LQTS often being detected by QT prolongation on re...
Deep Learning Adult Humans Electrocardiography Genotype Cross-Sectional Studies Female Long QT Syndrome Male Arrhythmias, Cardiac
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