Multivariate autoregressive model with immediate transfer paths for assessment of interactions between cardiopulmonary variability signals

Ilkka Korhonen, Reijo Takalo, Väinö Turjanmaa

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

Multivariate autoregressive modelling provides a method to analyse the dynamic interactions between heart rate (HR), blood pressure (BP) and respiration (RESP) by means of noise source contributions (NSCs). The conventional approach presumes the modelled noise sources are mutually independent. This presumption is, in general, not satisfied and causes an error in the results. In the present study, the effect of this error is analysed. A method is presented to remove the error by making the noise sources independent. The method is based on the inclusion of immediate transfer paths in the model. To quantify the strength of the interactions, a measure called NSC ratio (NSCR); is calculated; this states the amount of variability of the signal arising from other signals. The method is demonstrated by studying the inter-relationships between HR, BP and RESP in a healthy male subject in supine and standing positions. It is found that the error is marked and that the presented method provides corrected estimates for spectral decomposition and NSC analysis. The results show it is necessary to include the immediate transfer mechanisms in the model, while analysing the cardiopulmonary dynamics by means of HR and BP variability.
Original languageEnglish
Pages (from-to)199-206
Number of pages8
JournalMedical and Biological Engineering and Computing
Volume34
Issue number3
DOIs
Publication statusPublished - 1996
MoE publication typeA1 Journal article-refereed

Fingerprint

Blood pressure
Decomposition

Cite this

@article{93f2312d804a4a68958c9773f6b7867a,
title = "Multivariate autoregressive model with immediate transfer paths for assessment of interactions between cardiopulmonary variability signals",
abstract = "Multivariate autoregressive modelling provides a method to analyse the dynamic interactions between heart rate (HR), blood pressure (BP) and respiration (RESP) by means of noise source contributions (NSCs). The conventional approach presumes the modelled noise sources are mutually independent. This presumption is, in general, not satisfied and causes an error in the results. In the present study, the effect of this error is analysed. A method is presented to remove the error by making the noise sources independent. The method is based on the inclusion of immediate transfer paths in the model. To quantify the strength of the interactions, a measure called NSC ratio (NSCR); is calculated; this states the amount of variability of the signal arising from other signals. The method is demonstrated by studying the inter-relationships between HR, BP and RESP in a healthy male subject in supine and standing positions. It is found that the error is marked and that the presented method provides corrected estimates for spectral decomposition and NSC analysis. The results show it is necessary to include the immediate transfer mechanisms in the model, while analysing the cardiopulmonary dynamics by means of HR and BP variability.",
author = "Ilkka Korhonen and Reijo Takalo and V{\"a}in{\"o} Turjanmaa",
note = "Project code: TTE3312",
year = "1996",
doi = "10.1007/BF02520074",
language = "English",
volume = "34",
pages = "199--206",
journal = "Medical and Biological Engineering and Computing",
issn = "0140-0118",
publisher = "Springer",
number = "3",

}

Multivariate autoregressive model with immediate transfer paths for assessment of interactions between cardiopulmonary variability signals. / Korhonen, Ilkka; Takalo, Reijo; Turjanmaa, Väinö.

In: Medical and Biological Engineering and Computing, Vol. 34, No. 3, 1996, p. 199-206.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Multivariate autoregressive model with immediate transfer paths for assessment of interactions between cardiopulmonary variability signals

AU - Korhonen, Ilkka

AU - Takalo, Reijo

AU - Turjanmaa, Väinö

N1 - Project code: TTE3312

PY - 1996

Y1 - 1996

N2 - Multivariate autoregressive modelling provides a method to analyse the dynamic interactions between heart rate (HR), blood pressure (BP) and respiration (RESP) by means of noise source contributions (NSCs). The conventional approach presumes the modelled noise sources are mutually independent. This presumption is, in general, not satisfied and causes an error in the results. In the present study, the effect of this error is analysed. A method is presented to remove the error by making the noise sources independent. The method is based on the inclusion of immediate transfer paths in the model. To quantify the strength of the interactions, a measure called NSC ratio (NSCR); is calculated; this states the amount of variability of the signal arising from other signals. The method is demonstrated by studying the inter-relationships between HR, BP and RESP in a healthy male subject in supine and standing positions. It is found that the error is marked and that the presented method provides corrected estimates for spectral decomposition and NSC analysis. The results show it is necessary to include the immediate transfer mechanisms in the model, while analysing the cardiopulmonary dynamics by means of HR and BP variability.

AB - Multivariate autoregressive modelling provides a method to analyse the dynamic interactions between heart rate (HR), blood pressure (BP) and respiration (RESP) by means of noise source contributions (NSCs). The conventional approach presumes the modelled noise sources are mutually independent. This presumption is, in general, not satisfied and causes an error in the results. In the present study, the effect of this error is analysed. A method is presented to remove the error by making the noise sources independent. The method is based on the inclusion of immediate transfer paths in the model. To quantify the strength of the interactions, a measure called NSC ratio (NSCR); is calculated; this states the amount of variability of the signal arising from other signals. The method is demonstrated by studying the inter-relationships between HR, BP and RESP in a healthy male subject in supine and standing positions. It is found that the error is marked and that the presented method provides corrected estimates for spectral decomposition and NSC analysis. The results show it is necessary to include the immediate transfer mechanisms in the model, while analysing the cardiopulmonary dynamics by means of HR and BP variability.

U2 - 10.1007/BF02520074

DO - 10.1007/BF02520074

M3 - Article

VL - 34

SP - 199

EP - 206

JO - Medical and Biological Engineering and Computing

JF - Medical and Biological Engineering and Computing

SN - 0140-0118

IS - 3

ER -