SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead electrocardiogram synthesis

Automated detection of shockable ECG signals: A review

(2021) Mohamed Hammad et al.   INFORMATION SCIENCES

Interactive ECG annotation: An artificial intelligence method for smart ECG manipulation

(2021) Haiyan Wang et al.   INFORMATION SCIENCES

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

(2020) Shenda Hong et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Myocardial Infarction Severity Stages Classification From ECG Signals Using Attentional Recurrent Neural Network

(2020) Eedara Prabhakararao et al.   IEEE SENSORS JOURNAL

FM-ECG: A Fine-grained Multi-Label Framework for ECG Image Classification

(2020) Nan Du et al.   INFORMATION SCIENCES

A New ECG Denoising Framework Using Generative Adversarial Network

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Classification of myocardial infarction with multi-lead ECG signals and deep CNN

(2019) Ulas Baran Baloglu et al.   PATTERN RECOGNITION LETTERS

Myocardial Infarction Classification Based on Convolutional Neural Network and Recurrent Neural Network

(2019) Kai Feng et al.   Applied Sciences-Basel

Single-Lead ECG Recordings Including Einthoven and Wilson Leads by a Smartwatch: A New Era of Patient Directed Early ECG Differential Diagnosis of Cardiac Diseases?

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Detection of myocardial infarction in 12 lead ECG using support vector machine

(2018) Ashok Kumar Dohare et al.   APPLIED SOFT COMPUTING

Fourth Universal Definition of Myocardial Infarction (2018)

(2018) Kristian Thygesen et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

A Simple and Effective Method for Detecting Myocardial Infarction Based on Deep Convolutional Neural Network

(2018) Na Liu et al.   Journal of Medical Imaging and Health Informatics

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

(2017) U. Rajendra Acharya et al.   INFORMATION SCIENCES

Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach

(2017) Lakhan Dev Sharma et al.   Signal Image and Video Processing

Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads

(2016) U. Rajendra Acharya et al.   KNOWLEDGE-BASED SYSTEMS

A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection

(2015) Bin Liu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning

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Analysis of Myocardial Infarction Using Discrete Wavelet Transform

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