AIMC Topic: Arrhythmias, Cardiac

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NSICA: Multi-objective imperialist competitive algorithm for feature selection in arrhythmia diagnosis.

Computers in biology and medicine May 24, 2023
This study proposes a multi-objective, non-dominated, imperialist competitive algorithm (NSICA) to solve optimal feature selection problems. The NSICA is a multi-objective and discrete version of the original Imperialist Competitive Algorithm (ICA) t...
Humans Algorithms Arrhythmias, Cardiac Machine Learning
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Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy.

Sensors (Basel, Switzerland) May 5, 2023
This study aims to present a novel deep learning algorithm for a sliding shock advisory decision during cardiopulmonary resuscitation (CPR) and its performance evaluation as a function of the cumulative hands-off time. We retrospectively used 13,570 ...
Retrospective Studies Deep Learning Humans Algorithms Cardiopulmonary Resuscitation Ventricular Fibrillation Electrocardiography Out-of-Hospital Cardiac Arrest Arrhythmias, Cardiac
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Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification.

Sensors (Basel, Switzerland) Apr 28, 2023
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the heal...
Electrocardiography Signal Processing, Computer-Assisted Animals Birds Arrhythmias, Cardiac Heart Rate Neural Networks, Computer Humans Algorithms
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Automated inter-patient arrhythmia classification with dual attention neural network.

Computer methods and programs in biomedicine Apr 20, 2023
BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance clinical diagnostic efficiency. However, due to the significant differences in the number of different categories of heartbeats, the performance of cla...
Humans Neural Networks, Computer Algorithms Heart Rate Databases, Factual Signal Processing, Computer-Assisted Electrocardiography Arrhythmias, Cardiac
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An ECG Stitching Scheme for Driver Arrhythmia Classification Based on Deep Learning.

Sensors (Basel, Switzerland) Mar 20, 2023
This study proposes an electrocardiogram (ECG) signal stitching scheme to detect arrhythmias in drivers during driving. When the ECG is measured through the steering wheel during driving, the data are always exposed to noise caused by vehicle vibrati...
Humans Neural Networks, Computer Deep Learning Electrocardiography Algorithms Arrhythmias, Cardiac
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Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram.

Sensors (Basel, Switzerland) Mar 16, 2023
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis of specific cardiac potential measured from a living body. Convolutional neural networks (CNN) outperform traditional ECG biometrics because convoluti...
Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer Biometry Heart Rate Humans Algorithms
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Comparison of two artificial intelligence-augmented ECG approaches: Machine learning and deep learning.

Journal of electrocardiology Mar 15, 2023
BACKGROUND: Artificial intelligence-augmented ECG (AI-ECG) refers to the application of novel AI solutions for complex ECG interpretation tasks. A broad variety of AI-ECG approaches exist, each having differing advantages and limitations relating to ...
Electrocardiography Arrhythmias, Cardiac Algorithms Deep Learning Artificial Intelligence Machine Learning Humans
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Accurate detection of arrhythmias on raw electrocardiogram images: An aggregation attention multi-label model for diagnostic assistance.

Medical engineering & physics Mar 2, 2023
BACKGROUND: The low rate of detection of abnormalities has been a major problem with current artificial intelligence-based electrocardiogram diagnostic algorithms, particularly when applied under real-world clinical scenarios.
Arrhythmias, Cardiac Attention Prospective Studies Electrocardiography Humans Artificial Intelligence Algorithms
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3D ECG display with deep learning approach for identification of cardiac abnormalities from a variable number of leads.

Physiological measurement Feb 16, 2023
The objective of this study is to explore new imaging techniques with the use of the deep learning method for the identification of cardiac abnormalities present in electrocardiogram (ECG) signals with 2, 3, 4, 6 and 12-lead in the framework of the P...
Deep Learning Electrocardiography Humans Neural Networks, Computer Algorithms Arrhythmias, Cardiac Heart Defects, Congenital
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Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals.

Computers in biology and medicine Feb 8, 2023
Cardiac disease is the leading cause of death in the US. Accurate heart disease detection is critical to timely medical treatment to save patients' lives. Routine use of the electrocardiogram (ECG) is the most common method for physicians to assess t...
Electrocardiography Signal Processing, Computer-Assisted Algorithms Heart Diseases Deep Learning Arrhythmias, Cardiac Humans Neural Networks, Computer
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