학술논문

Multimodal signal processing for the analysis of cardiovascular variability.
Document Type
Journal
Author
Porta, Alberto (I-MILAN-THO) AMS Author Profile; Aletti, Federico (I-MILANP-BE) AMS Author Profile; Vallais, Frederic (I-MILANP-BE) AMS Author Profile; Baselli, Giuseppe (I-MILANP-BE) AMS Author Profile
Source
Philosophical Transactions of the Royal Society of London. Series A. Mathematical, Physical and Engineering Sciences (Philos. Trans. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci.) (20080101), 367, no. 1887, 391-409. ISSN: 1364-503X (print).eISSN: 1471-2962.
Subject
94 Information and communication, circuits -- 94A Communication, information
  94A12 Signal theory
Language
English
Abstract
Summary: ``Cardiovascular (CV) variability as a primary vital signcarrying information about CV regulation systems is reviewed bypointing out the role of the main rhythms and the various control andfunctional systems involved. The high complexity of the addressedphenomena fosters a multimodal approach that relies on data analysismodels and deals with the ongoing interactions of many signals at atime. The importance of closed-loop identification and causal analysisis remarked upon and basic properties, application conditions andmethods are recalled. The need for further integration of CV signalsrelevant to peripheral and systemic haemodynamics, respiratorymechanics, and neural afferent and efferent pathways is also stressed.''