发明名称 Neuropsychological spatiotemporal pattern recognition
摘要 Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
申请公布号 US9135221(B2) 申请公布日期 2015.09.15
申请号 US201213684651 申请日期 2012.11.26
申请人 Elminda Ltd. 发明人 Shahaf Goded;Geva Amir B.
分类号 G06K9/00;G06F17/18;G06K9/62;G06F19/00 主分类号 G06K9/00
代理机构 代理人
主权项 1. A method of constructing a flow pattern database, comprising: obtaining EEG and/or MEG signals from multiple subjects from one or more research groups for a behavioral process; identifying brain activity patterns for said behavioral process for said research groups using a counting method or method of calculating statistical significances of pairs; identifying a plurality of candidate pathways for said brain activity patterns; for each research group, defining a set of flow patterns among functional brain regions based on said candidate pathways, thereby constructing the flow pattern database.
地址 Herzlia IL