Linear multivariate models for physiological signal analysis: Applications

Ilkka Korhonen; Luca Mainardi; Guiseppe Baselli; Anna Bianchi; Pekka Loula; Guy Garrault

doi:10.1016/0169-2607(96)01767-1

Linear multivariate models for physiological signal analysis: Applications

Ilkka Korhonen (Corresponding Author), Luca Mainardi, Guiseppe Baselli, Anna Bianchi, Pekka Loula, Guy Garrault

VTT Technical Research Centre of Finland

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

11 Citations (Scopus)

Abstract

Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of cardiovascular dynamics, which has been one of the main application fields of the multivariate modelling during the last ten years. It is demonstrated that physiologically meaningful information about the causal interactions in the cardiovascular system can be drawn from the routinely available clinical signals. Both static and dynamic conditions are considered.

Original language	English
Pages (from-to)	121-130
Journal	Computer Methods and Programs in Biomedicine
Volume	51
Issue number	1-2
DOIs	https://doi.org/10.1016/0169-2607(96)01767-1
Publication status	Published - 1996
MoE publication type	A1 Journal article-refereed

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10.1016/0169-2607(96)01767-1

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title = "Linear multivariate models for physiological signal analysis: Applications",

abstract = "Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of cardiovascular dynamics, which has been one of the main application fields of the multivariate modelling during the last ten years. It is demonstrated that physiologically meaningful information about the causal interactions in the cardiovascular system can be drawn from the routinely available clinical signals. Both static and dynamic conditions are considered.",

author = "Ilkka Korhonen and Luca Mainardi and Guiseppe Baselli and Anna Bianchi and Pekka Loula and Guy Garrault",

note = "Project code: TTE3312",

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T1 - Linear multivariate models for physiological signal analysis

T2 - Applications

AU - Korhonen, Ilkka

AU - Mainardi, Luca

AU - Baselli, Guiseppe

AU - Bianchi, Anna

AU - Loula, Pekka

AU - Garrault, Guy

N1 - Project code: TTE3312

PY - 1996

Y1 - 1996

N2 - Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of cardiovascular dynamics, which has been one of the main application fields of the multivariate modelling during the last ten years. It is demonstrated that physiologically meaningful information about the causal interactions in the cardiovascular system can be drawn from the routinely available clinical signals. Both static and dynamic conditions are considered.

AB - Some applications of linear multivariate modelling methods in the analysis of physiological signals are presented. These applications illustrate the methods in the analysis of cardiovascular dynamics, which has been one of the main application fields of the multivariate modelling during the last ten years. It is demonstrated that physiologically meaningful information about the causal interactions in the cardiovascular system can be drawn from the routinely available clinical signals. Both static and dynamic conditions are considered.

U2 - 10.1016/0169-2607(96)01767-1

DO - 10.1016/0169-2607(96)01767-1

M3 - Article

SN - 0169-2607

VL - 51

SP - 121

EP - 130

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

IS - 1-2

ER -

Linear multivariate models for physiological signal analysis: Applications

Abstract

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