AIMC Topic: Arrhythmias, Cardiac

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Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms.

Computational intelligence and neuroscience Aug 11, 2022
Automated ECG-based arrhythmia detection is critical for early cardiac disease prevention and diagnosis. Recently, deep learning algorithms have been widely applied for arrhythmia detection with great success. However, the lack of labeled ECG data an...
Signal Processing, Computer-Assisted Deep Learning Heart Rate Humans Arrhythmias, Cardiac Electrocardiography Algorithms
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Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification.

Computational intelligence and neuroscience Aug 8, 2022
The electrical activity produced during the heartbeat is measured and recorded by an ECG. Cardiologists can interpret the ECG machine's signals and determine the heart's health condition and related causes of ECG signal abnormalities. However, cardio...
Humans Algorithms Arrhythmias, Cardiac Electrocardiography Neural Networks, Computer Machine Learning
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ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches.

Computational intelligence and neuroscience Jul 31, 2022
According to the World Health Organization (WHO) report, heart disease is spreading throughout the world very rapidly and the situation is becoming alarming in people aged 40 or above (Xu, 2020). Different methods and procedures are adopted to detect...
Machine Learning Deep Learning Humans Electrocardiography Cloud Computing Arrhythmias, Cardiac
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Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique.

Sensors (Basel, Switzerland) Jul 27, 2022
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost importance to be able to efficiently diagnose these arrhythmias promptly. There exist many techniques for the detection of arrhythmias; however, the most widely a...
Arrhythmias, Cardiac Heart Rate Algorithms Deep Learning Electrocardiography Humans Signal Processing, Computer-Assisted
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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...
Neural Networks, Computer Algorithms Databases, Factual Deep Learning Heart Rate Humans Signal Processing, Computer-Assisted Electrocardiography Arrhythmias, Cardiac Diagnostic Imaging
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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...
Neural Networks, Computer Wearable Electronic Devices Humans Arrhythmias, Cardiac Time Factors Electrocardiography
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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...
Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer Deep Learning Attention Humans
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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...
Heart Rate Electrocardiography Arrhythmias, Cardiac Humans Neural Networks, Computer Algorithms
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Artificial Intelligence in Electrocardiology for Arrhythmia Diagnosis.

Circulation journal : official journal of the Japanese Circulation Society May 18, 2022
Artificial Intelligence Electrocardiography Arrhythmias, Cardiac Humans
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