ECG beat arrhythmia classification by using 1-d CNN in case of class imbalance
Abstract
In this study, ECG arrhythmia types of non-ectopic (N), ventricular ectopic (V), unknown (Q), supraventricular ectopic (S) and fusion (F) were classified by using the convolutional neural network (CNN) architecture. QRS detection was performed on these EC
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075625815&doi=10.1109%2fTIPTEKNO.2019.8895014&partnerID=40&md5=993cf163677825eaf78fe513cb186204https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9792
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