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Title: Pilot Study of Cardiotocography
Full text: PDF
Authors: Simayijiang, Zhayida and Åström, Kalle and Källén, Karin
Year: 2017
Document Type:Conference Paper
Conference: International Conference of the IEEE Engineering in Medicine and Biology Society
Conference location: Korea
Status: Published
Refereed: Yes
Keywords: essence
Publisher: IEEE
BibTeX item:BibTeX
Abstract: A major problem in CTG analysis is that detection of a suspicious pattern in short intervals so that one can reduce the damage caused by a delay of an automatic monitoring system. In this paper, we aim for improving intrapartum surveillance based on signal processing and machine learning techniques. We evaluate a classification method on a real data set.

 

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