A deep convolutional neural network model to classify heartbeats

The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a general term that refers to an abnormal heart rhythm. The basis of arrhythmia diagnosis is the identification of normal v...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 89; pp. 389 - 396
Main Authors:	Acharya, U. Rajendra, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adam, Muhammad, Gertych, Arkadiusz, Tan, Ru San
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.10.2017 Elsevier Limited
Subjects:	Abnormalities Arrhythmia Arrhythmias, Cardiac - diagnosis Arrhythmias, Cardiac - physiopathology Artificial intelligence Artificial neural networks Automation Cardiac arrhythmia Cardiology Cardiovascular disease Cardiovascular diseases Classification Convolutional neural network Databases, Factual Deep learning Diagnostic systems Echocardiography EKG Electrocardiogram signals Electrocardiography Female Heart Heart diseases Heart Rate Heartbeat Humans Male Models, Cardiovascular Morphology Myocardial Contraction Neural networks Neural Networks (Computer) Noise PhysioBank MIT-BIH arrhythmia database Principal components analysis Signal Processing, Computer-Assisted Ventricle Deep learning Electrocardiogram signals Arrhythmia PhysioBank MIT-BIH arrhythmia database Convolutional neural network Heartbeat Cardiovascular diseases
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
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