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A TRANSFER LEARNING APPROACH BY USING 2-D CONVOLUTIONAL NEURAL NETWORK FEATURES TO DETECT UNSEEN ARRHYTHMIA CLASSES
Author(s) -
Emre Çimen
Publication year - 2021
Publication title -
eskişehir technical university journal of science and technology a - applied sciences and engineering
Language(s) - English
Resource type - Journals
ISSN - 2667-4211
DOI - 10.18038/estubtda.755500
Subject(s) - heartbeat , artificial intelligence , cardiac arrhythmia , transfer of learning , deep learning , convolutional neural network , computer science , binary classification , support vector machine , pattern recognition (psychology) , artificial neural network , machine learning , electrocardiography , medicine , cardiology , computer security , atrial fibrillation

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