METHODS FOR NONINVASIVE INTRACRANIAL PRESSURE CALIBRATION WITHOUT THE NEED FOR INVASIVE ICP

摘要

Systems and methods for assessing a non-accessible parameter from accessible parameters are provided. A training process produces three databases: A dynamical model database containing input/output (I/O) models relating ABP/CBFV to ICP when estimating ICP; a mapping function database containing a mapping function for each entry in the model database, providing estimated of the dissimilarity between the unknown ICP and simulated ICP using the corresponding dynamical model on a given instance of ABP/CBFV; and a query feature database of vectors extracted from an instance of ABP/CBFV. New ABP/CBFV measurements are analyzed to extract query features that are evaluated by each mapping function in the database. The output is dissimilarity metrics providing estimates of the quality of the simulated ICP using the database models for a given ABP/CBFV instance. The dissimilarity metrics are ranked to find the optimal model. The model is used to simulate ICP using the new ABP/CBFV.