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

Faltermeier, Rupert , Proescholdt, Martin A. , Wolf, Stefan, Bele, Sylvia and Brawanski, Alexander (2018) A Patient-Independent Significance Test by Means of False-Positive Rates in Selected Correlation Analysis of Brain Multimodal Monitoring Data. Computational and Mathematical Methods in Medicine 2018, pp. 1-8.

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Date of publication of this fulltext: 25 Sep 2018 16:35

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Other URL: http://doi.org/10.1155/2018/6821893


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 ...

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Item type:Article
Date:8 August 2018
Institutions:Medicine > Lehrstuhl für Neurochirurgie
Projects:Open Access Publizieren (DFG)
Identification Number:
ValueType
10.1155/2018/6821893DOI
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:37772
Owner only: item control page

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