4.7 Article

Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

Related references

Note: Only part of the references are listed.
Article Biology

Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network

Wenjuan Cai et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2020)

Article Computer Science, Information Systems

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

Siti Nurmaini et al.

ELECTRONICS (2020)

Article Computer Science, Artificial Intelligence

Recent advances in convolutional neural network acceleration

Qianru Zhang et al.

NEUROCOMPUTING (2019)

Article Cardiac & Cardiovascular Systems

P6568Forecasting atrial fibrillation using machine learning techniques

J.-M Gregoire et al.

EUROPEAN HEART JOURNAL (2019)

Article Multidisciplinary Sciences

Predicting atrial fibrillation in primary care using machine learning

Nathan R. Hill et al.

PLOS ONE (2019)

Article Medicine, General & Internal

Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal

Urtnasan Erdenebayar et al.

JOURNAL OF KOREAN MEDICAL SCIENCE (2019)

Article Computer Science, Artificial Intelligence

Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier

Annisa Darmawahyuni et al.

ALGORITHMS (2019)

Proceedings Paper Engineering, Electrical & Electronic

Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach

Krzysztof Horoba et al.

PROCEEDINGS OF THE 2019 26TH INTERNATIONAL CONFERENCE MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (MIXDES 2019) (2019)

Proceedings Paper Automation & Control Systems

Deep Learning with Long Short-Term Memory for Enhancement Myocardial Infarction Classification

Annisa Darmawahyuni et al.

PROCEEDINGS OF THE 2019 6TH INTERNATIONAL CONFERENCE ON INSTRUMENTATION, CONTROL, AND AUTOMATION (ICA) (2019)

Proceedings Paper Engineering, Biomedical

ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention

Sajad Mousavi et al.

2019 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI) (2019)

Article Computer Science, Interdisciplinary Applications

Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III

K. H. Boon et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Biology

Detecting atrial fibrillation by deep convolutional neural networks

Yong Xia et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Proceedings Paper Computer Science, Interdisciplinary Applications

P-wave Analysis in Atrial Fibrillation Detection Using a Neural Network Clustering Algorithm

Reza Firoozabadi et al.

2018 COMPUTING IN CARDIOLOGY CONFERENCE (CINC) (2018)

Article Oncology

Electrocardiographic artifact potentially misleading to the wrong management

Srishti Sareen et al.

ANNALS OF TRANSLATIONAL MEDICINE (2018)

Article Computer Science, Information Systems

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

U. Rajendra Acharya et al.

INFORMATION SCIENCES (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records

Tomas Teijeiro et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

AF Classification from ECG Recording using Feature Ensemble and Sparse Coding

Bradley M. Whitaker et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

Atrial Fibrillation Detection Using Feature Based Algorithm and Deep Convolutional Neural Network

Shadi Ghiasi et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

Atrial Fibrillation Detection and ECG Classification based on Convolutional Recurrent Neural Network

Mohamed Limam et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings

Jonathan Rubin et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Proceedings Paper Cardiac & Cardiovascular Systems

Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier

Morteza Zabihi et al.

2017 COMPUTING IN CARDIOLOGY (CINC) (2017)

Article Engineering, Electrical & Electronic

Automatic ECG arrhythmia classification using dual tree complex wavelet based features

Manu Thomas et al.

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS (2015)

Article Engineering, Biomedical

Parallel-type fractional zero-phase filtering for ECG signal denoising

Jianhong Wang et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2015)

Article Cardiac & Cardiovascular Systems

How does Chronic Atrial Fibrillation Influence Mortality in the Modern Treatment Era?

Rajiv Sankaranarayanan et al.

CURRENT CARDIOLOGY REVIEWS (2015)

Review Cardiac & Cardiovascular Systems

The supraventricular tachycardias: Proposal of a diagnostic algorithm for the narrow complex tachycardias

Carmelo Butta et al.

JOURNAL OF CARDIOLOGY (2013)

Article Mathematics, Applied

Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques

E. Castillo et al.

JOURNAL OF APPLIED MATHEMATICS (2013)

Article Computer Science, Artificial Intelligence

A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification

Hamid Khorrami et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)