Related references
Note: Only part of the references are listed.FM-ECG: A fine-grained multi-label framework for ECG image classification
Nan Du et al.
INFORMATION SCIENCES (2021)
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time
Girmaw Abebe Tadesse et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2021)
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection
Harold Martin et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2021)
MFB-LANN: A lightweight and updatable myocardial infarction diagnosis system based on convolutional neural networks and active learning
Ziyang He et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
A Survey on Evolutionary Construction of Deep Neural Networks
Xun Zhou et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)
ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction
Yangjie Cao et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)
Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network
Harold Martin et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Self-supervised ECG pre-training
Han Liu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Energy-Aware Design Methodology for Myocardial Infarction Detection on Low-Power Wearable Devices
Mohanad Odema et al.
2021 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC) (2021)
ML-ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG
Chuang Han et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
European Society of Cardiology: Cardiovascular Disease Statistics 2019
Adam Timmis et al.
EUROPEAN HEART JOURNAL (2020)
Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals
Lidan Fu et al.
SENSORS (2020)
MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs
Wenhan Liu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Evolving Deep Convolutional Neural Networks for Image Classification
Yanan Sun et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)
Completely Automated CNN Architecture Design Based on Blocks
Yanan Sun et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
PTB-XL, a large publicly available electrocardiography dataset
Patrick Wagner et al.
SCIENTIFIC DATA (2020)
Squeeze-and-Excitation Networks
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
Yanan Sun et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features
Chuang Han et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Y. Hannun et al.
NATURE MEDICINE (2019)
Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach
Lakhan Dev Sharma et al.
SIGNAL IMAGE AND VIDEO PROCESSING (2018)
Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection
Wenhan Liu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram
Wenhan Liu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
U. Rajendra Acharya et al.
INFORMATION SCIENCES (2017)
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
U. Rajendra Acharya et al.
INFORMATION SCIENCES (2017)
Deep Learning for Health Informatics
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Third-order tensor based analysis of multilead ECG for classification of myocardial infarction
Sibasankar Padhy et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
ECG-based heartbeat classification for arrhythmia detection: A survey
Eduardo Jose da S. Luz et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction
L. N. Sharma et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2015)
Automated analysis of ECG waveforms with atypical QRS complex morphologies
Reza Tafreshi et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2014)
The forgotten lead: Does aVR ST-deviation add insight into the outcomes of ST-elevation myocardial infarction patients?
Aws Alherbish et al.
AMERICAN HEART JOURNAL (2013)
ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
Roshan Joy Martis et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2013)
2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines
Patrick T. O'Gara et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2013)
Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models
Pei-Chann Chang et al.
APPLIED SOFT COMPUTING (2012)
ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection
Li Sun et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
Third Universal Definition of Myocardial Infarction
Kristian Thygesen et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2012)
Identification of myocardial infarction (MI) using spatio-temporal heart dynamics
Hui Yang et al.
MEDICAL ENGINEERING & PHYSICS (2012)
Analysis of Myocardial Infarction Using Discrete Wavelet Transform
E. S. Jayachandran et al.
JOURNAL OF MEDICAL SYSTEMS (2010)
Current concepts - Use of the electrocardiogram in acute myocardial infarction
PJ Zimetbaum et al.
NEW ENGLAND JOURNAL OF MEDICINE (2003)
PhysioBank, PhysioToolkit, and PhysioNet - Components of a new research resource for complex physiologic signals
AL Goldberger et al.
CIRCULATION (2000)