AIMC Topic: Ventricular Premature Complexes

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Localization of origins of premature ventricular contraction in the whole ventricle based on machine learning and automatic beat recognition from 12-lead ECG.

Physiological measurement Jun 10, 2020
OBJECTIVE: The localization of origins of premature ventricular contraction (PVC) is the key factor for the success of ablation of ventricular arrhythmias. Existing methods rely heavily on manual extraction of PVC beats, which limits their applicatio...
Electrocardiography Signal Processing, Computer-Assisted Heart Ventricles Humans Machine Learning Heart Rate Automation Ventricular Premature Complexes
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Intelligent Analysis of Premature Ventricular Contraction Based on Features and Random Forest.

Journal of healthcare engineering Oct 7, 2019
Premature ventricular contraction (PVC) is one of the most common arrhythmias in the clinic. Due to its variability and susceptibility, patients may be at risk at any time. The rapid and accurate classification of PVC is of great significance for the...
Databases, Factual Electrocardiography Decision Trees Machine Learning Algorithms Signal Processing, Computer-Assisted Ventricular Premature Complexes Humans
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A Real-Time Arrhythmia Heartbeats Classification Algorithm Using Parallel Delta Modulations and Rotated Linear-Kernel Support Vector Machines.

IEEE transactions on bio-medical engineering Jul 1, 2019
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time machine learning system for Arrhythmia classification. The system is based...
Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Heart Rate Ventricular Premature Complexes Humans Algorithms
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Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network.

Physiological measurement Jun 4, 2019
OBJECTIVE: Ventricular contractions in healthy individuals normally follow the contractions of atria to facilitate more efficient pump action and cardiac output. With a ventricular ectopic beat (VEB), volume within the ventricles are pumped to the bo...
Neural Networks, Computer Algorithms Electrocardiography Humans Wavelet Analysis Databases as Topic Ventricular Premature Complexes
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Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.

Computer methods and programs in biomedicine Dec 27, 2018
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computat...
Electrocardiography Signal-To-Noise Ratio Ventricular Premature Complexes Wavelet Analysis Machine Learning Algorithms Diagnosis, Computer-Assisted Humans Neural Networks, Computer
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Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms.

Heart (British Cardiac Society) May 31, 2018
OBJECTIVE: To evaluate the diagnostic performance of a deep learning system for automated detection of atrial fibrillation (AF) in photoplethysmographic (PPG) pulse waveforms.
Monitoring, Ambulatory Ventricular Premature Complexes Dimensional Measurement Accuracy Comparative Effectiveness Research Female Electrocardiography Aged Telemedicine Sensitivity and Specificity Atrial Fibrillation Male Smartphone Middle Aged Photoplethysmography Deep Learning Humans
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Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

IEEE transactions on bio-medical engineering Sep 25, 2017
OBJECTIVE: This paper proposes a novel method to localize origins of premature ventricular contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural network (CNN) and a realistic computer heart model.
Algorithms Female Aged Adult Male Humans Neural Networks, Computer Signal Processing, Computer-Assisted Ventricular Premature Complexes Middle Aged Electrocardiography
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Premature ventricular contraction detection combining deep neural networks and rules inference.

Artificial intelligence in medicine Jun 9, 2017
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer-aided PVC detection is of considerable importance in medical centers or outpa...
Algorithms Ventricular Premature Complexes Databases, Factual Sensitivity and Specificity Electrocardiography Arrhythmias, Cardiac Humans Neural Networks, Computer
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Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.

Computer methods and programs in biomedicine Jul 9, 2015
Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagnosis and proper treatment, PVC may result in serious harms. Diagnosis of PVC is of great importance in goal-directed treatment and preoperation prognos...
Sensitivity and Specificity Electrocardiography Automation Neural Networks, Computer Algorithms Ventricular Premature Complexes Humans
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Deep Learning for Premature Ventricular Contraction-Cardiomyopathy: Are We Digging Deep Enough?

JACC. Clinical electrophysiology Aug 1, 2023
Humans Deep Learning Ventricular Premature Complexes
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