A Patient-Independent Significance Test by Means of False-Positive Rates in Selected Correlation Analysis of Brain Multimodal Monitoring Data

URN to cite this document:: urn:nbn:de:bvb:355-epub-377723
DOI to cite this document:: 10.5283/epub.37772

Faltermeier, Rupert

; Proescholdt, Martin A.

; Wolf, Stefan ; Bele, Sylvia

; Brawanski, Alexander

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 25 Sep 2018 16:35

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Abstract

Recently, we introduced a mathematical toolkit called selected correlation analysis (sca) that reliably detects negative and positive correlations between arterial blood pressure (ABP) and intracranial pressure (ICP) data, recorded during multimodal monitoring, in a time-resolved way. As has been shown with the aid of a mathematical model of cerebral perfusion, such correlations reflect impaired ...