Non-linear dynamic analysis of beat-to-beat interactions of heart rate and mean arterial pressure: a feasibility study

Anca-Larisa Sandu-Giuraniuc; Koen Matthys; Alain Kalmar; Patrick Segers; Pascal Verdonck

Non-linear dynamic analysis of beat-to-beat interactions of heart rate and mean arterial pressure: a feasibility study

Anca-Larisa Sandu-Giuraniuc, Koen Matthys, Alain Kalmar, Patrick Segers, Pascal Verdonck

Applied Medicine

Research output: Contribution to conference › Other › peer-review

Abstract

Heart rate and blood pressure variability may provide important diagnostic information for the assessment of cardiovascular risk. The interactions between heart rate and blood pressure are complex and strongly non-linear. In this paper, we apply the method of joint symbolic dynamics (JSD), a new short term non-linear analysis method to investigate the interactions between heart rate (HR) and mean arterial pressure (MAP). Continuous (30 to 90 min) non-invasive electrocardiogram (ECG) and invasive blood pressure (BP) recordings (radial artery) were done in 2 patients during surgery, where sufficiently long recordings of ECG and BP are readily available. Time series of beat-to-beat HR and MAP changes were transformed off-line into a bivariate symbol vector. This symbol vector was transformed into a word series (a word consisting of three and four successive symbols), and the probability of occurrence of each word type was calculated and compared between both patients. Joint symbolic dynamics turned out to be a fairly easy-to-use and innovating approach to the study of HR and MAP interactions, provided that the necessary computing power for post-processing of lengthy data sets is available.

Original language	English
Number of pages	4
Publication status	Published - 26 May 2003
Event	6th National Congress on Theoretical and Applied Mechanics - Ghent, Belgium Duration: 26 May 2003 → 27 May 2003

Conference

Conference	6th National Congress on Theoretical and Applied Mechanics
Abbreviated title	ICTAM 2003
Country/Territory	Belgium
City	Ghent
Period	26/05/03 → 27/05/03

Bibliographical note

Anca Larisa Sandu is a Master student at the “Al. I. Cuza” University, Iasi, Romania, and a recipient of a Socrates Grant for a stage at University of Gent. Koen Matthys is a recipient of a specialization grant of the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT-993175). Patrick Segers is a recipient of a post-doctoral grant from the Fund for Scientific Research in Flanders (FWO-Vlaanderen).

Keywords

heart rate variability
blood pressure variability
joint symbolic dynamics
cardiac mechanics

Cite this

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title = "Non-linear dynamic analysis of beat-to-beat interactions of heart rate and mean arterial pressure: a feasibility study",

abstract = "Heart rate and blood pressure variability may provide important diagnostic information for the assessment of cardiovascular risk. The interactions between heart rate and blood pressure are complex and strongly non-linear. In this paper, we apply the method of joint symbolic dynamics (JSD), a new short term non-linear analysis method to investigate the interactions between heart rate (HR) and mean arterial pressure (MAP). Continuous (30 to 90 min) non-invasive electrocardiogram (ECG) and invasive blood pressure (BP) recordings (radial artery) were done in 2 patients during surgery, where sufficiently long recordings of ECG and BP are readily available. Time series of beat-to-beat HR and MAP changes were transformed off-line into a bivariate symbol vector. This symbol vector was transformed into a word series (a word consisting of three and four successive symbols), and the probability of occurrence of each word type was calculated and compared between both patients. Joint symbolic dynamics turned out to be a fairly easy-to-use and innovating approach to the study of HR and MAP interactions, provided that the necessary computing power for post-processing of lengthy data sets is available.",

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author = "Anca-Larisa Sandu-Giuraniuc and Koen Matthys and Alain Kalmar and Patrick Segers and Pascal Verdonck",

note = "Anca Larisa Sandu is a Master student at the “Al. I. Cuza” University, Iasi, Romania, and a recipient of a Socrates Grant for a stage at University of Gent. Koen Matthys is a recipient of a specialization grant of the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT-993175). Patrick Segers is a recipient of a post-doctoral grant from the Fund for Scientific Research in Flanders (FWO-Vlaanderen).; 6th National Congress on Theoretical and Applied Mechanics, ICTAM 2003 ; Conference date: 26-05-2003 Through 27-05-2003",

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AU - Sandu-Giuraniuc, Anca-Larisa

AU - Matthys, Koen

AU - Kalmar, Alain

AU - Segers, Patrick

AU - Verdonck, Pascal

N1 - Anca Larisa Sandu is a Master student at the “Al. I. Cuza” University, Iasi, Romania, and a recipient of a Socrates Grant for a stage at University of Gent. Koen Matthys is a recipient of a specialization grant of the Institute for the Promotion of Innovation by Science and Technology in Flanders (IWT-993175). Patrick Segers is a recipient of a post-doctoral grant from the Fund for Scientific Research in Flanders (FWO-Vlaanderen).

PY - 2003/5/26

Y1 - 2003/5/26

N2 - Heart rate and blood pressure variability may provide important diagnostic information for the assessment of cardiovascular risk. The interactions between heart rate and blood pressure are complex and strongly non-linear. In this paper, we apply the method of joint symbolic dynamics (JSD), a new short term non-linear analysis method to investigate the interactions between heart rate (HR) and mean arterial pressure (MAP). Continuous (30 to 90 min) non-invasive electrocardiogram (ECG) and invasive blood pressure (BP) recordings (radial artery) were done in 2 patients during surgery, where sufficiently long recordings of ECG and BP are readily available. Time series of beat-to-beat HR and MAP changes were transformed off-line into a bivariate symbol vector. This symbol vector was transformed into a word series (a word consisting of three and four successive symbols), and the probability of occurrence of each word type was calculated and compared between both patients. Joint symbolic dynamics turned out to be a fairly easy-to-use and innovating approach to the study of HR and MAP interactions, provided that the necessary computing power for post-processing of lengthy data sets is available.

AB - Heart rate and blood pressure variability may provide important diagnostic information for the assessment of cardiovascular risk. The interactions between heart rate and blood pressure are complex and strongly non-linear. In this paper, we apply the method of joint symbolic dynamics (JSD), a new short term non-linear analysis method to investigate the interactions between heart rate (HR) and mean arterial pressure (MAP). Continuous (30 to 90 min) non-invasive electrocardiogram (ECG) and invasive blood pressure (BP) recordings (radial artery) were done in 2 patients during surgery, where sufficiently long recordings of ECG and BP are readily available. Time series of beat-to-beat HR and MAP changes were transformed off-line into a bivariate symbol vector. This symbol vector was transformed into a word series (a word consisting of three and four successive symbols), and the probability of occurrence of each word type was calculated and compared between both patients. Joint symbolic dynamics turned out to be a fairly easy-to-use and innovating approach to the study of HR and MAP interactions, provided that the necessary computing power for post-processing of lengthy data sets is available.

KW - heart rate variability

KW - blood pressure variability

KW - joint symbolic dynamics

KW - cardiac mechanics

UR - https://www.researchgate.net/publication/237011048_Non-linear_dynamic_analysis_of_beat-to-beat_interactions_of_heart_rate_and_mean_arterial_pressure_a_feasibility_study

M3 - Other

Y2 - 26 May 2003 through 27 May 2003

ER -

Non-linear dynamic analysis of beat-to-beat interactions of heart rate and mean arterial pressure: a feasibility study

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Keywords

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