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Pilot Study of Cardiotocography

Simayijiang, Zhayida LU ; Åström, Karl LU orcid and Källén, Karin LU (2017) 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
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.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
1 pages
conference name
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
conference location
SEOGWIPO City, Korea, Republic of
conference dates
2017-07-11 - 2017-07-15
language
English
LU publication?
yes
id
ee33e24e-efff-42b5-98dc-97581763bfc2
date added to LUP
2018-01-27 09:31:50
date last changed
2020-12-22 02:16:28
@misc{ee33e24e-efff-42b5-98dc-97581763bfc2,
  abstract     = {{A major problem in CTG analysis is that detection<br/>of a suspicious pattern in short intervals so that one can reduce<br/>the damage caused by a delay of an automatic monitoring<br/>system. In this paper, we aim for improving intrapartum<br/>surveillance based on signal processing and machine learning<br/>techniques. We evaluate a classification method on a real data<br/>set.}},
  author       = {{Simayijiang, Zhayida and Åström, Karl and Källén, Karin}},
  language     = {{eng}},
  title        = {{Pilot Study of Cardiotocography}},
  year         = {{2017}},
}