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  Increased cardiorespiratory coordination in preeclampsia

Berg, K., Kraemer, J. F., Riedl, M., Stepan, H., Kurths, J., Wessel, N. (2017): Increased cardiorespiratory coordination in preeclampsia. - Physiological Measurement, 38, 5, 912-924.
https://doi.org/10.1088/1361-6579/aa64b0

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 Creators:
Berg, K.1, Author
Kraemer, J. F.1, Author
Riedl, Maik2, Author              
Stepan, H.1, Author
Kurths, Jürgen2, Author              
Wessel, N.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Preeclampsia is one of the main sources of morbidity in pregnancy with a high mortality rate without a known ultimate cause. Using a corpus including 927 measurements of pregnant women with and without different hypertonic diseases at multiple stages of pregnancy, we utilised a new approach to analyse cardiorespiratory coordination. Since the recording quality of respiratory effort was limited due to a high signal to noise ratio, we applied an ECG derived respiration approach to create an ersatz respiratory signal. After applying the few available recordings with a sufficiently high quality of the respiratory signal to validate the substitute, coordigrams were calculated and quantified by utilising an epsilon method. We showed significant (p  <  0.05) differences in the coordination in a matched (BMI, age, gestational week) comparison of preeclamptic and healthy subjects. Hopefully future applications of and improvements on these methods are able to create a fast and convenient prediction methodology to reduce the impact of this disease as well as help in the determination of its underlying cause.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1361-6579/aa64b0
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7658
Research topic keyword: Complex Networks
Research topic keyword: Extremes
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Health
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
 Degree: -

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Title: Physiological Measurement
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 38 (5) Sequence Number: - Start / End Page: 912 - 924 Identifier: Publisher: IOP Publishing
Other: 1361-6579
ISSN: 0143-0815
ISSN: 0967-3334
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/Physiological-Measurement