Classification of Premature Ventricular Contraction in ECG

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Classification of Premature Ventricular Contraction in ECG

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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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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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2015

ISSN: 2156-5570,2158-107X

DOI: 10.14569/ijacsa.2015.060706