Myocardial Infarction

Latest AI and machine learning research in myocardial infarction for healthcare professionals.

7,963 articles

Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 778-798 of 7,963 articles

Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges.

Training deep neural network classifiers for electrocardiograms (ECGs) requires sufficient data. How...

Aug 2023 37673589

A Scalable Open-Set ECG Identification System Based on Compressed CNNs.

Deep learning (DL) is known for its excellence in feature learning and its ability to deliver high-a...

Aug 2023 34818194

Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.

Arrhythmias using electrocardiogram (ECG) signal is important in medical and computer research due t...

Jul 2023 37285819

An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration.

Emergency department (ED) triage scale determines the priority of patient care and foretells the pro...

Jul 2023 37523102

Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.

Little is known about electrocardiogram (ECG) markers of Parkinson's disease (PD) during the prodrom...

Jul 2023 37516770

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm.

BACKGROUND: Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive step for ...

Jul 2023 37507698

Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System.

Due to the tremendous growth of the Internet of Things (IoT), sensing technologies, and wearables, t...

Jul 2023 37571459

A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.

BACKGROUND: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they ma...

Jul 2023 37480862

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG.

Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although ...

Jul 2023 37468574

Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network.

Timely detection of anomalies and automatic interpretation of an electrocardiogram (ECG) play a cruc...

Jul 2023 37419922

CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals.

. Although deep learning-based current methods have achieved impressive results in electrocardiograp...

Jul 2023 37336244

Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare syste...

Jul 2023 37402610

Deep Learning Models for Stress Analysis in University Students: A Sudoku-Based Study.

Due to the phenomenon of "involution" in China, the current generation of college and university stu...

Jul 2023 37447948

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

OBJECTIVE: Over the past few years, deep learning (DL) has been used extensively in research for 12-...

Jun 2023 37022038

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Myocardial Infarction

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Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges.

A Scalable Open-Set ECG Identification System Based on Compressed CNNs.

Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.

An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration.

Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm.

Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System.

A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG.

Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network.

CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals.

Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Deep Learning Models for Stress Analysis in University Students: A Sudoku-Based Study.

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

A Product Fuzzy Convolutional Network for Detecting Driving Fatigue.

Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease.

Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.

Transformer-based temporal sequence learners for arrhythmia classification.

Erroneous electrocardiographic interpretations and its clinical implications.

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications.

Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.

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