Nonlinear chaotic dynamics of mean arterial pressure after carotid baroreceptor isolation

Nigel Lovell; Bruce Henry; Albert Avolio; Branko Celler; Drew Carlson; Martha Brunner

Nonlinear chaotic dynamics of mean arterial pressure after carotid baroreceptor isolation

Nigel Lovell^*, Bruce Henry, Albert Avolio, Branko Celler, Drew Carlson, Martha Brunner

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A study was carried out to determine whether or not time series data from blood pressure measurements could be described within the framework of low dimensional nonlinear dynamics. The role of the carotid baroreflex in the complexity and predictability of the dynamics was assessed quantitatively through correlation dimension (CD) and the largest Lyapunov exponents (LE) measures. Observations were made in conscious dogs with their baroreceptors either intact or surgically isolated. Surrogate data analysis revealed that the correlation dimension did not converge over the range of embedding dimensions possible, and that the nonlinear forecasting ability decreased.

Original language	English
Pages (from-to)	2015-2018
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	5
Publication status	Published - 1997
Externally published	Yes

Cite this

@article{9156f16fc96142efaecd1cda277280be,

title = "Nonlinear chaotic dynamics of mean arterial pressure after carotid baroreceptor isolation",

abstract = "A study was carried out to determine whether or not time series data from blood pressure measurements could be described within the framework of low dimensional nonlinear dynamics. The role of the carotid baroreflex in the complexity and predictability of the dynamics was assessed quantitatively through correlation dimension (CD) and the largest Lyapunov exponents (LE) measures. Observations were made in conscious dogs with their baroreceptors either intact or surgically isolated. Surrogate data analysis revealed that the correlation dimension did not converge over the range of embedding dimensions possible, and that the nonlinear forecasting ability decreased.",

author = "Nigel Lovell and Bruce Henry and Albert Avolio and Branko Celler and Drew Carlson and Martha Brunner",

year = "1997",

language = "English",

volume = "5",

pages = "2015--2018",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

TY - JOUR

T1 - Nonlinear chaotic dynamics of mean arterial pressure after carotid baroreceptor isolation

AU - Lovell, Nigel

AU - Henry, Bruce

AU - Avolio, Albert

AU - Celler, Branko

AU - Carlson, Drew

AU - Brunner, Martha

PY - 1997

Y1 - 1997

N2 - A study was carried out to determine whether or not time series data from blood pressure measurements could be described within the framework of low dimensional nonlinear dynamics. The role of the carotid baroreflex in the complexity and predictability of the dynamics was assessed quantitatively through correlation dimension (CD) and the largest Lyapunov exponents (LE) measures. Observations were made in conscious dogs with their baroreceptors either intact or surgically isolated. Surrogate data analysis revealed that the correlation dimension did not converge over the range of embedding dimensions possible, and that the nonlinear forecasting ability decreased.

AB - A study was carried out to determine whether or not time series data from blood pressure measurements could be described within the framework of low dimensional nonlinear dynamics. The role of the carotid baroreflex in the complexity and predictability of the dynamics was assessed quantitatively through correlation dimension (CD) and the largest Lyapunov exponents (LE) measures. Observations were made in conscious dogs with their baroreceptors either intact or surgically isolated. Surrogate data analysis revealed that the correlation dimension did not converge over the range of embedding dimensions possible, and that the nonlinear forecasting ability decreased.

UR - http://www.scopus.com/inward/record.url?scp=0031293393&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031293393

SN - 0589-1019

VL - 5

SP - 2015

EP - 2018

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -

Nonlinear chaotic dynamics of mean arterial pressure after carotid baroreceptor isolation

Abstract

Other files and links

Fingerprint

Cite this