Parameter Optimization for Selected Correlation Analysis of Intracranial Pathophysiology

Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation a...

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Bibliographic Details
Published in:Computational and mathematical methods in medicine 2015-01, Vol.2015 (2015), p.1-7
Main Authors: Brawanski, Alexander, Bele, S., Proescholdt, Martin A., Faltermeier, Rupert
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Blood Pressure - physiology
Brain Injuries - physiopathology
Cerebrovascular Circulation - physiology
Cohort Studies
Computational Biology
Female
Glasgow Outcome Scale - statistics & numerical data
Homeostasis - physiology
Humans
Intracranial Pressure - physiology
Male
Middle Aged
Models, Neurological
Prospective Studies
Subarachnoid Hemorrhage - physiopathology
Young Adult
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Summary:Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation and intracranial compliance, as predicted by a mathematical model. The time resolved selected correlation analysis is based on a windowing technique combined with Fourier-based coherence calculations and therefore depends on several parameters. For real time application of this method at an ICU it is inevitable to adjust this mathematical tool for high sensitivity and distinct reliability. In this study, we will introduce a method to optimize the parameters of the selected correlation analysis by correlating an index, called selected correlation positive (SCP), with the outcome of the patients represented by the Glasgow Outcome Scale (GOS). For that purpose, the data of twenty-five patients were used to calculate the SCP value for each patient and multitude of feasible parameter sets of the selected correlation analysis. It could be shown that an optimized set of parameters is able to improve the sensitivity of the method by a factor greater than four in comparison to our first analyses.
ISSN:1748-670X
1748-6718
DOI:10.1155/2015/652030