PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals

dc.contributor.author	Ozkurt Nalan
dc.date.accessioned	2024-04-06T12:16:49Z
dc.date.available	2024-04-06T12:16:49Z
dc.date.issued	2023
dc.identifier.uri	http://dx.doi.org/10.1016/j.softx.2023.101589
dc.identifier.uri	https://dspace.yasar.edu.tr/handle/20.500.12742/19197
dc.description.abstract	Electrocardiography (ECG) is an indispensable tool for diagnosing heart diseases. However long ECG records should be annotated by clinicians for training the Artificial Intelligence (AI) algorithms. Furthermore raw ECG should be processed for better learning. This paper introduces an open-source user-friendly Matlab preprocessing and annotation interface. preprocessECG offers a GUI for cropping manual artifact removal filtering and segmentation. Also custom preprocessing software can be invoked from the interface. PrepAnnECG is an easy-to-use ECG annotation GUI that is suitable for long records. The outputs of both GUI are comma-separated value (csv) files that any machine learning algorithm can read.
dc.title	PrepAnnECG: A user friendly MATLAB ECG preprocessing and annotation GUI for health professionals
dc.type	Article
dc.relation.journal	SOFTWAREX
dc.identifier.doi	10.1016/j.softx.2023.101589
dc.relation.volume	24
dc.identifier.volume	24

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