Deep learning in ECG diagnosis: A review

Comprehensive electrocardiographic diagnosis based on deep learning

(2020) Oh Shu Lih et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

(2020) Siti Nurmaini et al.   Electronics

A Survey on Fuzzy Deep Neural Networks

(2020) Rangan Das et al.   ACM COMPUTING SURVEYS

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

(2020) Fatma Murat et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss

(2020) Taissir Fekih Romdhane et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

(2019) Emelia J. Benjamin et al.   CIRCULATION

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

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

Inter-patient ECG classification with convolutional and recurrent neural networks

(2019) Li Guo et al.   Biocybernetics and Biomedical Engineering

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

(2019) Saeed Saadatnejad et al.   IEEE Journal of Biomedical and Health Informatics

Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks

(2019) Jinghao Niu et al.   IEEE Journal of Biomedical and Health Informatics

A survey on deep learning techniques for image and video semantic segmentation

(2018) Alberto Garcia-Garcia et al.   APPLIED SOFT COMPUTING

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram

(2018) Wenhan Liu et al.   Biomedical Signal Processing and Control

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

A novel application of deep learning for single-lead ECG classification

(2018) Sherin M. Mathews et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

(2018) Shu Lih Oh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

(2018) Jen Hong Tan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

(2018) Oliver Faust et al.   COMPUTERS IN BIOLOGY AND MEDICINE

False Alarm Reduction in Atrial Fibrillation Detection Using Deep Belief Networks

(2018) Bahareh Taji et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Classification of ECG beats using deep belief network and active learning

(2018) Sayantan G. et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Visualizing deep neural network by alternately image blurring and deblurring

(2018) Feng Wang et al.   NEURAL NETWORKS

Patient-specific ECG classification by deeper CNN from generic to dedicated

(2018) Yazhao Li et al.   NEUROCOMPUTING

Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network

(2018) Xiaolong Zhai et al.   IEEE Access

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

(2018) Özal Yıldırım et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep learning approach for real-time detection of atrial fibrillation

(2018) Rasmus S. Andersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

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

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

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

Stable architectures for deep neural networks

(2017) Eldad Haber et al.   INVERSE PROBLEMS

Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network

(2017) U. Rajendra Acharya et al.   KNOWLEDGE-BASED SYSTEMS

A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression

(2017) Jianli Yang et al.   International Journal of Machine Learning and Cybernetics

Insights into the importance of the electrocardiogram in patients with acute heart failure

(2016) Pishoy Gouda et al.   EUROPEAN JOURNAL OF HEART FAILURE

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

(2016) Serkan Kiranyaz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep learning approach for active classification of electrocardiogram signals

(2016) M.M. Al Rahhal et al.   INFORMATION SCIENCES

Cardiovascular risks associated with incident and prevalent periodontal disease

(2015) Yau-Hua Yu et al.   JOURNAL OF CLINICAL PERIODONTOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Expected energy-based restricted Boltzmann machine for classification

(2015) S. Elfwing et al.   NEURAL NETWORKS

Telecardiology through ubiquitous Internet services

(2012) Carlos Costa et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification

(2011) G. de Lannoy et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING