Cardiovascular

Arrhythmias

Latest AI and machine learning research in arrhythmias for healthcare professionals.

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Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...

Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent epis...

[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accuratel...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...

An Ontology Approach for Knowledge Representation of ECG Data.

The number of features that can be extracted from ECG signals has increased with the advancement in ...

ZerobotĀ®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Since 2012, we have been developing a remote-controlled robotic system (ZerobotĀ®) for needle inserti...

Detection of Atrial Fibrillation from RR Intervals and PQRST Morphology using a Neural Network Ensemble.

Early detection and discrimination of cardiac arrhythmia, atrial fibrillation (AF) in particular, is...

Atrial Fibrillation Detection in Short Single Lead ECG Recordings Using Wavelet Transform and Artificial Neural Networks.

Atrial fibrillation (AF) is a common health issue, not only in developed countries but also in devel...

Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach.

Heart rate variability (HRV) analysis is widely used to assess the sympathetic and parasympathetic t...

QRS Detection and Measurement Method of ECG Paper Based on Convolutional Neural Networks.

In this paper, we propose an end-to-end approach to addressing QRS complex detection and measurement...

Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory.

Heart disease classification based on electrocardiogram(ECG) signal has become a priority topic in t...

Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, devel...

Region Aggregation Network: Improving Convolutional Neural Network for ECG Characteristic Detection.

Detection of ECG characteristic points serves as the first step in automated ECG analysis techniques...

Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks.

This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based authenticati...

Design of a hybrid model for cardiac arrhythmia classification based on Daubechies wavelet transform.

BACKGROUND: Automation in cardiac arrhythmia classification helps medical professionals make accurat...

Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG.

BACKGROUND: Myocardial relaxation is impaired in almost all cases with left ventricular diastolic dy...

[Design and Implementation of Portable Abnormal ECG Signal Analysis Instrument Based on Feature Classifcation].

OBJECTIVES: To collect and analyze the ECG signal in real time, the analog filter and the signal amp...

COMPARISON OF CARDIAC ARRHYTHMIA TYPES BETWEEN HYPERTHYROID PATIENTS WITH GRAVES' DISEASE AND TOXIC NODULAR GOITER.

PURPOSE: Previous studies have demonstrated the relationship between hyperthyroidism and increased r...

Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation...

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

Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac elec...

Radiofrequency-induced endometrial ablation for the treatment of postpartum hemorrhage after vaginal delivery: Case report.

RATIONALE: Postpartum hemorrhage is a common complication and difficult problem in obstetrics. Radio...

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