Key result
A multimodal approach to cardiovascular variability analysis, incorporating closed-loop identification and causal analysis, is necessary to understand complex cardiovascular regulation systems.
Highlights the importance of multimodal signal processing and closed-loop identification in analyzing cardiovascular variability.
Should not yet change clinical practice; leaves open whether multimodal closed-loop analysis improves understanding of cardiovascular regulation.
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 of further integration of CV signals relevant to peripheral and systemic haemodynamics, respiratory mechanics, neural afferent and efferent pathways is also stressed.
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Porta et al. (2008) conducted a review in Cardiovascular variability. Multimodal signal processing was evaluated. A multimodal approach to cardiovascular variability analysis, incorporating closed-loop identification and causal analysis, is necessary to understand complex cardiovascular regulation systems.
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