Towards a non-invasive craniospinal compliance biomarker

Abstract

Measuring intracranial pressure (ICP) is required for clinical management of several neurological disorders. Of arguably similar value, but more difficult to measure, is craniospinal compliance (CC). Changes in head impedance due to geometry and dielectric properties variation during the cardiac cycle is a promising biomarker for non-invasive CC monitoring. Recently, we developed an efficient computational method to facilitate signal information content analysis and maximization. In this paper, we show how this method is coupled to deformation data to study transient head impedance changes towards optimization of data acquisition and interpretation. Moreover, the first experimental validation data using a prototype device is presented.