Pilot Study of Cardiotocography

Research output: Contribution to conferenceAbstract

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.

Details

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Subject classification (UKÄ) – MANDATORY

  • Computer Vision and Robotics (Autonomous Systems)
Original languageEnglish
Number of pages1
Publication statusPublished - 2017 Jul
Publication categoryResearch
Peer-reviewedYes
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - JUNGMUN Sightseeing Complex, SEOGWIPO City, Korea, Republic of
Duration: 2017 Jul 112017 Jul 15
https://embc.embs.org/2017/

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CitySEOGWIPO City
Period2017/07/112017/07/15
Internet address