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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 925-945 of 1,713 articles

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

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workfl...

Jan 2019 PMID: 30617320

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is as...

Jan 2019 PMID: 30617318

Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.

BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary he...

Dec 2018 PMID: 30638592

AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.

OBJECTIVE: The objective of this paper is to provide an algorithm for accurate, automated detection ...

Dec 2018 PMID: 30524091

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.

Abnormality of the cardiac conduction system can induce arrhythmia - abnormal heart rhythm - that ca...

Dec 2018 PMID: 30599317

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

We have previously developed an automated localization method based on multiple linear regression (M...

Nov 2018 PMID: 30465152

A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation.

BACKGROUND: Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep n...

Nov 2018 PMID: 30476648

Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.

Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sen...

Nov 2018 PMID: 30397730

Radiofrequency endometrial ablation for treating heavy menstrual bleeding in women with chronic renal failure.

OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequ...

Nov 2018 PMID: 30724627

Ensembling convolutional and long short-term memory networks for electrocardiogram arrhythmia detection.

OBJECTIVE: Atrial fibrillation is a common type of heart rhythm abnormality caused by a problem with...

Oct 2018 PMID: 30010088

A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms.

OBJECTIVE: Electrocardiography is the most common tool to diagnose cardiovascular diseases. Annotati...

Oct 2018 PMID: 30235165

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.

We review some of the latest approaches to analysing cardiac electrophysiology data using machine le...

Oct 2018 PMID: 30442428

ECG Signal Classification Using Various Machine Learning Techniques.

Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and dete...

Oct 2018 PMID: 30334106

ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation.

Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide range of appl...

Sep 2018 PMID: 30290297

ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network.

OBJECTIVE: The electrocardiogram (ECG) provides an effective, non-invasive approach for clinical dia...

Sep 2018 PMID: 30102248

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.

This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...

Sep 2018 PMID: 30235153

Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG.

UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due t...

Sep 2018 PMID: 30102251

Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device.

OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal qualit...

Sep 2018 PMID: 30102239

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

In this paper a novel training technique is proposed to offer an efficient solution for neural netwo...

Sep 2018 PMID: 30245432

Remote vs. conventional navigation for catheter ablation of atrial fibrillation: insights from prospective registry data.

BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed ...

Aug 2018 PMID: 30159751

Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms.

Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF dura...

Aug 2018 PMID: 30140958