Linear multivariate models for physiological signal analysis: Applications

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

Research output: Contribution to journalArticleScientificpeer-review

12 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 languageEnglish
Pages (from-to)121-130
JournalComputer Methods and Programs in Biomedicine
Volume51
Issue number1-2
DOIs
Publication statusPublished - 1996
MoE publication typeA1 Journal article-refereed

Fingerprint Dive into the research topics of 'Linear multivariate models for physiological signal analysis: Applications'. Together they form a unique fingerprint.

  • Cite this

    Korhonen, I., Mainardi, L., Baselli, G., Bianchi, A., Loula, P., & Garrault, G. (1996). Linear multivariate models for physiological signal analysis: Applications. Computer Methods and Programs in Biomedicine, 51(1-2), 121-130. https://doi.org/10.1016/0169-2607(96)01767-1