Premature Ventricular Contraction (PVC) Detection Using R Signals
نویسندگان
چکیده
منابع مشابه
Detection of Premature Ventricular Contraction Beats Using ANN
Detection and classification of ventricular complexities from the electrocardiogram (ECG) is of considerable importance in critical care and patient monitoring for the timely diagnosis of dangerous heart conditions. Accurate detection of premature ventricular contractions (PVCs) is particularly important in relation to life-threatening arrhythmias. Model based approach for detection of PVC is a...
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Premature ventricular contractions (PVCs) are ectopic heart beats originating from ventricular area. It is a common form of heart arrhythmia. Electrocardiogram (ECG) recordings have been widely used to assist cardiologists to diagnose the problem. In this paper, we study the automatic detection of PVC using a fuzzy artificial neural network named Quantum Neural Network (QNN). With the quantum n...
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In this paper we present an algorithm to detect premature ventricular contraction beats (PVCs) which based on blood pressure measuring data technique. A PVC beat is chosen and compared with the number of heart beats per unit time (Heart rate) using Mat lab. The heart rate may be too fast or too slow. PVC beats are then detected using a decision parameter which is a discrete function of two uneq...
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A novel strategy for detecting Premature Ventricular Contraction (PVC) is proposed and investigated. The strategy employs a Swarm-based Support Vector Machine (SSVM). An SSVM is an SVM optimised by using Particle Swarm Optimisation (PSO). The strategy proposes new inputs. The inputs involve the width and the gradient of the electrocardiographic QRS wave. Experiments with different inputs and di...
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Cardiac arrhythmia is one of the most important indicators of heart disease. Premature ventricular contractions (PVCs) are a common form of cardiac arrhythmia caused by ectopic heartbeats. The detection of PVCs by means of ECG (electrocardiogram) signals is important for the prediction of possible heart failure. This study focuses on the classification of PVC heartbeats from ECG signals and, in...
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ژورنال
عنوان ژورنال: KnE Life Sciences
سال: 2019
ISSN: 2413-0877
DOI: 10.18502/kls.v4i11.3846