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

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Faltermeier, Rupert ; Proescholdt, Martin A. ; Wolf, Stefan ; Bele, Sylvia ; Brawanski, Alexander
Date of publication of this fulltext: 25 Sep 2018 16:35


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 ...


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