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
Subject
94 Information and communication, circuits -- 94A Communication, information
94A12Signal theory
94A12
Language
English
Abstract
Summary: ``Cardiovascular (CV) variability as a primary vital sign carrying information about CV regulation systems is reviewed by pointing out the role of the main rhythms and the various control and functional systems involved. The high complexity of the addressed phenomena fosters a multimodal approach that relies on data analysis models and deals with the ongoing interactions of many signals at a time. The importance of closed-loop identification and causal analysis is remarked upon and basic properties, application conditions and methods are recalled. The need for further integration of CV signals relevant to peripheral and systemic haemodynamics, respiratory mechanics, and neural afferent and efferent pathways is also stressed.''