Classification of Premature Ventricular Contraction (PVC) based on ECG Signal using Convolutional Neural Network
نویسندگان
چکیده
منابع مشابه
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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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: Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
سال: 2020
ISSN: 2089-3272,2089-3272
DOI: 10.11591/ijeei.v8i3.1530