Classification and Comparison of Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine

dc.contributor.author	Comert, Zafer
dc.contributor.author	Kocamaz, Adnan Fatih
dc.contributor.author	Gungor, Sami
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2016
dc.identifier.isbn	978-1-5090-1679-2
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10498
dc.description.abstract	Cardiotocography (CTG) is a monitoring technique that is used routinely during pregnancy and labor to assess fetal well-being. CTG consists of two signals which are fetal heart rate (FHR) and uterine contraction (UC). Twenty-one features representing the
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	24th Signal Processing and Communication Application Conference (SIU)
dc.source	2016 24Th Sıgnal Processıng And Communıcatıon Applıcatıon Conference (Sıu)
dc.title	Classification and Comparison of Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine
dc.type	Proceedings Paper
dc.identifier.startpage	1493
dc.identifier.endpage	1496
dc.identifier.wos	WOS:000391250900350

Files in this item

Files	Size	Format	View
There are no files associated with this item.