AIMC Topic: Arrhythmias, Cardiac

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Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy.

European heart journal Feb 21, 2023
AIMS: This study aims to identify and visualize electrocardiogram (ECG) features using an explainable deep learning-based algorithm to predict cardiac resynchronization therapy (CRT) outcome. Its performance is compared with current guideline ECG cri...
Deep Learning Electrocardiography Humans Cardiac Resynchronization Therapy Arrhythmias, Cardiac Treatment Outcome Heart Failure
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Automatic arrhythmia detection with multi-lead ECG signals based on heterogeneous graph attention networks.

Mathematical biosciences and engineering : MBE Aug 26, 2022
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performed by measuring the electrocardiogram (ECG) signals of standard multiple leads. However, the correlations of multiple leads are often ignored. In addit...
Neural Networks, Computer Algorithms Humans Arrhythmias, Cardiac Electrocardiography
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[ST segment morphological classification based on support vector machine multi feature fusion].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2022
ST segment morphology is closely related to cardiovascular disease. It is used not only for characterizing different diseases, but also for predicting the severity of the disease. However, the short duration, low energy, variable morphology and inter...
Arrhythmias, Cardiac Algorithms Databases, Factual Electrocardiography Humans Support Vector Machine
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Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Cardiovascular diseases (CVDs) are one of the principal causes of death. Cardiac arrhythmia, a critical CVD, can be easily detected from an electrocardiogram (ECG) recording. Automated ECG analysis can help clinicians to identify arrhythmia and preve...
Support Vector Machine Bayes Theorem Mass Screening Arrhythmias, Cardiac Humans Algorithms Electrocardiography
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[Electrocardiogram signal classification algorithm of nested long short-term memory network based on focal loss function].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2022
Electrocardiogram (ECG) can visually reflect the physiological electrical activity of human heart, which is important in the field of arrhythmia detection and classification. To address the negative effect of label imbalance in ECG data on arrhythmia...
Arrhythmias, Cardiac Electrocardiography Signal Processing, Computer-Assisted Algorithms Humans Neural Networks, Computer
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Management of arrhythmias: the increasing role of artificial intelligence, genetics and cardiac resyncronization.

European heart journal Dec 7, 2021
Humans Heart Artificial Intelligence Arrhythmias, Cardiac
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Segment Origin Prediction: A Self-supervised Learning Method for Electrocardiogram Arrhythmia Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The automatic arrhythmia classification system has made a significant contribution to reducing the mortality rate of cardiovascular diseases. Although the current deep-learning-based models have achieved ideal effects in arrhythmia classification, th...
Arrhythmias, Cardiac Cardiovascular Diseases Supervised Machine Learning Humans Electrocardiography Neural Networks, Computer
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An Approach for Deep Learning in ECG Classification Tasks in the Presence of Noisy Labels.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cardiovascular disease (CVD) is a serial of diseases with global leading causes of death. Electrocardiogram (ECG) is the most commonly used basis for CVD diagnosis due to its low cost and no injury. Due to the great performance shown in classificatio...
Neural Networks, Computer Arrhythmias, Cardiac Deep Learning Algorithms Electrocardiography Humans
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The growing role of artificial intelligence and of wearable devices in the management of arrhythmias.

European heart journal Oct 7, 2021
Wearable Electronic Devices Arrhythmias, Cardiac Artificial Intelligence Humans
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More than meets the eye: Using AI to identify reduced heart function by electrocardiograms.

Med (New York, N.Y.) Jul 9, 2021
Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardiology for diagnosing conduction system disease, arrhythmias, and heart attack. Now, using AI-assisted interpretation of ECGs, the signals within these...
Heart Humans Arrhythmias, Cardiac Artificial Intelligence Myocardial Infarction Electrocardiography
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