Direction of Information Flow Between Heart Rate, Blood Pressure and Breathing
- Teodor Buchner,
- Jan Żebrowski,
- Grzegorz Gielerak,
- Monika Grzȩda
The problem of a reliable determination of the causal precedence of physiological signals with no a priori knowledge is addressed. Three physiologically important signals: blood pressure variability (BPV), heart rate variability (HRV) and breathing are taken as an example. Below we introduce a novel method of analysis of physiological signals based on local linear cross-correlation. Nonstationarity of both signals is not a problem for this new method. In fact it is a requirement for the method to work. The properties of the method are confirmed by means of suitably defined test signals. The method is then applied to BPV and HRV recorded in a group of 11 patients undergoing the head-up tilt test according to a modified Westminster protocol. The results are consistent within the whole group of patients irregardless of physiological conditions and despite the fact that each of the patients exhibited a different response to tilt-test procedure. This indicates the results obtained are general. The results indicate that the breathing-related modulation of pulse pressure is one of the primary sources of variability in the cardiovascular system.
- Record ID
- Dana Syamal K., Syamal K. Dana Roy Prodyot K., Prodyot K. Roy Kurths Jürgen Jürgen Kurths (eds.): Complex Dynamics in Physiological Systems: From Heart to Brain, Understanding Complex Systems, 2009, Springer Netherlands, ISBN 978-1-4020-9142-1, 978-1-4020-9143-8
- Keywords in English
- Biomedical Engineering, Biomedicine general, Biophysics/Biomedical Physics, blood pressure variability, breathing, causality, Complexity, Computer Appl. in Life Sciences, Correlation, heart rate variability, Statistics for Life Sciences, Medicine, Health Sciences
- http://link.springer.com/chapter/10.1007/978-1-4020-9143-8_3 Opening in a new tab
- Score (nominal)
- Publication indicators
- = 1; = 2
- Uniform Resource Identifier
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.