AIMC Topic: Arrhythmias, Cardiac

Clear Filters Showing 121 to 130 of 287 articles

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.

IEEE transactions on biomedical circuits and systems May 9, 2022
In this paper, we propose a lightweight neural network for real-time electrocardiogram (ECG) anomaly detection and system level power reduction of wearable Internet of Things (IoT) Edge sensors. The proposed network utilizes a novel hybrid architectu...
Neural Networks, Computer Humans Algorithms Arrhythmias, Cardiac Electrocardiography Heart Rate
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Cardiac auscultation predicts mortality in elderly patients admitted for COVID-19.

Hospital practice (1995) Apr 29, 2022
INTRODUCTION: COVID-19 has had a great impact on the elderly population. All admitted patients underwent cardiac auscultation at the Emergency Department. However, to our knowledge, there is no literature that explains the implications of cardiac aus...
Heart Auscultation Aged Aged, 80 and over Female Humans Hospital Mortality Hospitalization COVID-19 Male Arrhythmias, Cardiac
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Deep Learning-Based Electrocardiograph in Evaluating Radiofrequency Ablation for Rapid Arrhythmia.

Computational and mathematical methods in medicine Mar 23, 2022
This study is aimed at analyzing the important role of deep learning-based electrocardiograph (ECG) in the efficacy evaluation of radiofrequency ablation in the treatment of tachyarrhythmia. In this study, 158 patients with rapid arrhythmia treated b...
Stroke Volume Deep Learning Humans Arrhythmias, Cardiac Ventricular Function, Left Electrocardiography Catheter Ablation
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MCG-Net: End-to-End Fine-Grained Delineation and Diagnostic Classification of Cardiac Events From Magnetocardiographs.

IEEE journal of biomedical and health informatics Mar 7, 2022
In this paper, we propose an end-to-end deep learning architecture, referred as MCG-Net, integrating convolutional neural network (CNN) with transformer-based global context block for fine-grained delineation and diagnostic classification of four car...
Humans Neural Networks, Computer Arrhythmias, Cardiac
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Update on risk factors and biomarkers of sudden unexplained cardiac death.

Journal of forensic and legal medicine Mar 6, 2022
Sudden cardiac death (SCD) accounts for approximately 15%-20% of all deaths worldwide, the causes of which are mainly structural heart diseases. However, SCD also occurs in patients without major cardiac structural abnormalities due to electrophysiol...
Biomarkers Risk Factors Humans Artificial Intelligence Arrhythmias, Cardiac Death, Sudden, Cardiac
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Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions.

Computational and mathematical methods in medicine Feb 3, 2022
One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is responsible for the supply of blood to each part of the body. Coronary artery disease (CAD) and chronic heart failure (CHF) often lead to heart attack. T...
Arrhythmias, Cardiac Image Interpretation, Computer-Assisted Heart Failure Data Mining Databases, Factual Machine Learning Electrocardiography Computational Biology Diagnosis, Computer-Assisted Algorithms Coronary Artery Disease Humans Neural Networks, Computer
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A CNN Model for Cardiac Arrhythmias Classification Based on Individual ECG Signals.

Cardiovascular engineering and technology Jan 3, 2022
PURPOSE: Wearable devices in the scenario of connected home healthcare integrated with artificial intelligence have been an effective alternative to the conventional medical devices. Despite various benefits of wearable electrocardiogram (ECG) device...
Artificial Intelligence Algorithms Wearable Electronic Devices Humans Neural Networks, Computer Arrhythmias, Cardiac Electrocardiography Signal Processing, Computer-Assisted
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Expert-enhanced machine learning for cardiac arrhythmia classification.

PloS one Dec 23, 2021
We propose a new method for the classification task of distinguishing atrial fibrillation (AFib) from regular atrial tachycardias including atrial flutter (AFlu) based on a surface electrocardiogram (ECG). Recently, many approaches for an automatic c...
Machine Learning Algorithms Humans Atrial Fibrillation Atrial Flutter Electrocardiography Arrhythmias, Cardiac
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Real-Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks.

Journal of the American Heart Association Dec 2, 2021
Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount significance in providing timely care. However, traditional ICU monitors generate a high rate of false alarms causing alarm fatigue. In this work, we...
Humans Algorithms Intensive Care Units Neural Networks, Computer Reproducibility of Results Arrhythmias, Cardiac
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Inter-patient automated arrhythmia classification: A new approach of weight capsule and sequence to sequence combination.

Computer methods and programs in biomedicine Nov 19, 2021
OBJECTIVE: We propose a new capsule network to compensate for the information loss in the deep convolutional networks in previous studies, and to improve the performance of arrhythmia classification.
Arrhythmias, Cardiac Algorithms Electrocardiography Humans Neural Networks, Computer Machine Learning
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