Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators
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- Michael Brennan
- Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria 3010; and
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- Marimuthu Palaniswami
- Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria 3010; and
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- Peter Kamen
- Department of Cardiology, Austin Hospital, Melbourne, Victoria 3084, Australia
書誌事項
- 公開日
- 2002-11-01
- DOI
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- 10.1152/ajpheart.00405.2000
- 公開者
- American Physiological Society
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説明
<jats:p> In this paper, we develop a physiological oscillator model of which the output mimics the shape of the R-R interval Poincaré plot. To validate the model, simulations of various nervous conditions are compared with heart rate variability (HRV) data obtained from subjects under each prescribed condition. For a variety of sympathovagal balances, our model generates Poincaréplots that undergo alterations strongly resembling those of actual R-R intervals. By exploiting the oscillator basis of our model, we detail the way that low- and high-frequency modulation of the sinus node translates into R-R interval Poincaré plot shape by way of simulations and analytic results. With the use of our model, we establish that the length and width of a Poincaré plot are a weighted combination of low- and high-frequency power. This provides a theoretical link between frequency-domain spectral analysis techniques and time-domain Poincaré plot analysis. We ascertain the degree to which these principles apply to real R-R intervals by testing the mathematical relationships on a set of data and establish that the principles are clearly evident in actual HRV records. </jats:p>
収録刊行物
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- American Journal of Physiology-Heart and Circulatory Physiology
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American Journal of Physiology-Heart and Circulatory Physiology 283 (5), H1873-H1886, 2002-11-01
American Physiological Society
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詳細情報 詳細情報について
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- CRID
- 1361981468656185728
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- ISSN
- 15221539
- 03636135
- https://id.crossref.org/issn/00029505
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- データソース種別
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- Crossref

