Arrhythmias

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. We propose a novel end-to-end deep learning scheme called Region Aggregation Network (RAN) for ECG characteristic points de- tection. A 1D Convolutional Neural Network (CNN) is adopted to automatically process ECG signals. A novel strategy of Region Aggregation is proposed to replace the conventio...

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, development of efficient arrhythmia detection techniques is essential to save patients' lives. In this paper, we introduce a new real-time cardiac arrhythmia classification using memristor neuromorphic computing system for classification of 5 different beat types. Neuromorphic computing systems utilize n...

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 the diagnosis of heart diseases because it can be o...

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 of Electrocardiograph (ECG) paper using convoluti...

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 tones. However, the quality of the derived HRV feat...

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 developing ones. AF can lead to strokes, heart failures...

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 essential for timely intervention to improve pati...

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

BACKGROUND: Automation in cardiac arrhythmia classification helps medical professionals make accurate decisions about the patient's health.

[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 amplifier were used to construct the abnormal signal ...

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 electrical activity from the body surface. ECG analysi...

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 of the Q-T wave (QT) interval on a surface electr...

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 risk of cardiac arrhythmias. The most common causes...

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. Radiofrequency-induced endometrial ablation (RFIEA) wid...

Validation of a CT-guided intervention robot for biopsy and radiofrequency ablation: experimental study with an abdominal phantom.

PURPOSE: We aimed to evaluate the accuracy of a needle-placement robot for biopsy and radiofrequency ablation on an abdominal phantom.

Rare Manifestation of Digoxin Toxicity: Right Bundle Branch Block.

A 76-year-old female, with medical history significant for systolic congestive heart failure, who presented to the emergency department with lethargy ...

[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

With the increasing number of electrocardiogram(ECG)data,extensive application requirements of computer-aided ECG analysis have occurred.In the paper,...

Robot-assistant for MRI-guided liver ablation: A pilot study.

PURPOSE: Percutaneous ablation under MRI-guidance allows treating otherwise inoperable liver tumors locally using a catheter probe. However, manually ...

Electrocardiogram signal denoising based on a new improved wavelet thresholding.

Good quality electrocardiogram (ECG) is utilized by physicians for the interpretation and identification of physiological and pathological phenomena. ...

[Salvage external beam radiation therapy for prostate cancer recurrence after high-intensity focused ultrasound ablation].

The article outlines oncological and functional outcomes of salvage external beam radiation therapy after HIFU-ablation in 49 patients. The study dete...

Beat-to-beat variability of P-wave in patients suffering from atrial fibrillation.

The aim of this paper was to analyze the P-wave variability over time in patients suffering from Atrial Fibrillation (AF). Behind some time-domain and...