Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Detecting atrial fibrillation by deep convolutional neural networks

(2018) Yong Xia 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

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

(2018) Aurore Lyon et al.   Journal of the Royal Society Interface

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

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

Computer-Interpreted Electrocardiograms

(2017) Jürg Schläpfer et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Deep learning approach for active classification of electrocardiogram signals

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

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy

(2015) Marta Carrara et al.   PHYSIOLOGICAL MEASUREMENT

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy

(2014) Xiaolin Zhou et al.   Biomedical Engineering Online

Diagnostic Utility of a Novel Leadless Arrhythmia Monitoring Device

(2013) Mintu P. Turakhia et al.   AMERICAN JOURNAL OF CARDIOLOGY

An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

(2013) Suranai Poungponsri et al.   NEUROCOMPUTING

Classification of ECG arrhythmia by a modular neural network based on Mixture of Experts and Negatively Correlated Learning

(2012) Mehrdad Javadi et al.   Biomedical Signal Processing and Control

Computational intelligence for heart disease diagnosis: A medical knowledge driven approach

(2012) Jesmin Nahar et al.   EXPERT SYSTEMS WITH APPLICATIONS