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Phase coupling in the cardiorespiratory interaction.

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Title: Phase coupling in the cardiorespiratory interaction.
Authors: Bahraminasab, A.1 a.bahraminasab@gmail.com, Kenwright, D.1, Stefanovska, A.1, Ghasemi, F.2, McClintock, P.V.E.1
Source: IET Systems Biology (Institution of Engineering & Technology). Jan2008, Vol. 2 Issue 1, p48-54. 7p. 1 Chart, 6 Graphs.
Subjects: Markov spectrum, Cardiopulmonary system, Markov processes, Nonlinear evolution equations, Stochastic analysis
Abstract: Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their ‘phase’ interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems. [ABSTRACT FROM AUTHOR]
Copyright of IET Systems Biology (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 28791956
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="DE" term="%22Markov+spectrum%22">Markov spectrum</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiopulmonary+system%22">Cardiopulmonary system</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+evolution+equations%22">Nonlinear evolution equations</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink>
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  Data: Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their ‘phase’ interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IET Systems Biology (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1049/iet-syb:20060087
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        Text: English
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      – SubjectFull: Markov processes
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      – SubjectFull: Nonlinear evolution equations
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              Text: Jan2008
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              Y: 2008
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