AIMC Topic: Arrhythmias, Cardiac

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Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs.

Sensors (Basel, Switzerland) Jul 20, 2022
The spatial QRS-T angle is a promising health indicator for risk stratification of sudden cardiac death (SCD). Thus far, the angle is estimated solely from 12-lead electrocardiogram (ECG) systems uncomfortable for ambulatory monitoring. Methods to es...
Humans Deep Learning Arrhythmias, Cardiac Death, Sudden, Cardiac Electrocardiography Heart
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A Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal.

BioMed research international Jul 4, 2022
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These arrhythmias can lead to potentially deadly consequences, putting your life in jeopardy. As a result, arrhythmia identification and classification are a...
Arrhythmias, Cardiac Heart Rate Diagnostic Imaging Signal Processing, Computer-Assisted Humans Neural Networks, Computer Deep Learning Electrocardiography Algorithms Databases, Factual
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Comparison of neural basis expansion analysis for interpretable time series (N-BEATS) and recurrent neural networks for heart dysfunction classification.

Physiological measurement Jun 28, 2022
The primary purpose of this work is to analyze the ability of N-BEATS architecture for the problem of prediction and classification of electrocardiogram (ECG) signals. To achieve this, performance comparison with various types of other SotA (state-of...
Electrocardiography Arrhythmias, Cardiac Humans Neural Networks, Computer Wearable Electronic Devices Time Factors
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Deep Learning Approach to Impact Classification in Sensorized Panels Using Self-Attention.

Sensors (Basel, Switzerland) Jun 9, 2022
This paper proposes a new method of impact classification for a Structural Health Monitoring system through the use of Self-Attention, the central building block of the Transformer neural network. As a topical and highly promising neural network arch...
Humans Neural Networks, Computer Arrhythmias, Cardiac Attention Deep Learning Electrocardiography
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Cost-Sensitive Learning for Anomaly Detection in Imbalanced ECG Data Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) May 27, 2022
Arrhythmia detection algorithms based on deep learning are attracting considerable interest due to their vital role in the diagnosis of cardiac abnormalities. Despite this interest, deep feature representation for ECG is still challenging and intrigu...
Arrhythmias, Cardiac Heart Rate Humans Neural Networks, Computer Algorithms Electrocardiography
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Artificial Intelligence in Electrocardiology for Arrhythmia Diagnosis.

Circulation journal : official journal of the Japanese Circulation Society May 18, 2022
Humans Artificial Intelligence Electrocardiography Arrhythmias, Cardiac
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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...
Heart Rate Neural Networks, Computer Algorithms Electrocardiography Arrhythmias, Cardiac Humans
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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...
Arrhythmias, Cardiac Aged Heart Auscultation Aged, 80 and over Female Male Humans Hospitalization Hospital Mortality COVID-19
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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...
Catheter Ablation Electrocardiography Arrhythmias, Cardiac Humans Stroke Volume Deep Learning Ventricular Function, Left
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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...
Neural Networks, Computer Arrhythmias, Cardiac Humans
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