Performance Evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for Computerized Hypoxia Detection and Prediction

dc.contributor.author	Comert, Zafer
dc.contributor.author	Yang, Zhang
dc.contributor.author	Velappan, Subha
dc.contributor.author	Boopathi, A. Manivanna
dc.contributor.author	Kocamaz, Adnan Fatih
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2018
dc.identifier.isbn	978-1-5386-1501-0
dc.identifier.issn	2165-0608
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10320
dc.description.abstract	This study proposes a new model relying on Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) in order to detect fetal hypoxia by using Cardiotocography (CTG) signals. We processed one well known open access intrapartum CTU-UHB databa
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	26th IEEE Signal Processing and Communications Applications Conference (SIU)
dc.source	2018 26Th Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)
dc.title	Performance Evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for Computerized Hypoxia Detection and Prediction
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000511448500096

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