发明名称 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.
申请公布号 US2015133798(A1) 申请公布日期 2015.05.14
申请号 US201314079618 申请日期 2013.11.13
申请人 THE REGENTS OF THE UNIVERSITY OF CALIFORNIA 发明人 Hu Xiao
分类号 A61B5/03;G06F19/00;A61B5/00 主分类号 A61B5/03
代理机构 代理人
主权项 1. A method of estimating an unknown physiological value from measurements of associated physiological parameters, comprising: (a) creating a database of measurements of a plurality of physiological parameters; (b) providing a database of linear dynamical input/output models built from pairs of physiological parameter measurements; (c) associating a mapping function with each model in the database of models, said mapping function providing at least one dissimilarity value representing dissimilarity between an actual value or function and an estimated value or function from using the model associated with the mapping function; (d) extracting features from a newly acquired set of measurements of one or more physiological parameters; (e) evaluating extracted features with each associated mapping function model producing dissimilarity metrics for each extracted feature; (f) ranking the dissimilarity metrics to find an optimal model; and (g) using the optimal model and the newly acquired set of measurements of one or more physiological parameters to simulate an unknown physiological value.
地址 Oakland CA US
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