Pilot Study of Cardiotocography

Forskningsoutput: KonferensbidragKonferensabstract

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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Datorseende och robotik (autonoma system)
Originalspråkengelska
Antal sidor1
StatusPublished - 2017 jul
PublikationskategoriForskning
Peer review utfördJa
Evenemang39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - JUNGMUN Sightseeing Complex, SEOGWIPO City, Sydkorea, Republiken Korea
Varaktighet: 2017 jul 112017 jul 15
https://embc.embs.org/2017/

Konferens

Konferens39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
LandSydkorea, Republiken Korea
OrtSEOGWIPO City
Period2017/07/112017/07/15
Internetadress