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1. 发明申请

WO2009069135A2 SYSTEM AND METHOD FOR NEURAL MODELING OF NEUROPHYSIOLOGICAL DATA 审中-公开
标题翻译：神经生理学数据神经建模的系统与方法
公开(公告)号：WO2009069135A2
公开(公告)日：2009-06-04
申请号：PCT/IL2008001559
申请日：2008-11-30
申请人： ELMINDA LTD , SHAHAF GODED , PINCHUK NOGA , BEN-BASSAT GUY , GEVA AMIR , TAUBER ISRAEL , RECHES AMIT , KANTER AYELET , GORDON URIT
发明人： SHAHAF GODED , PINCHUK NOGA , BEN-BASSAT GUY , GEVA AMIR , TAUBER ISRAEL , RECHES AMIT , KANTER AYELET , GORDON URIT
CPC分类号： G16H50/50
摘要： ABSTRACT 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.
摘要翻译：摘要用于识别和分析神经心理流动模式的系统和方法包括创建神经心理流动模式的知识库。知识库通过从特定行为过程的多个研究组获得信号，定位参与特定行为过程的活动来源，识别行为过程的大脑活动模式集，以及神经心理学分析本地化来源和所识别的模式每个研究组。神经心理学分析包括识别所识别的一组模式的所有可能途径，根据特定行为过程的可能性对可能的途径进行排序，并基于额外的约束减少排名可能的途径的数量。提供了一种用于将获得的信号从个体与所创建的知识库进行比较的系统。然后使用这些获得的信号来进一步更新现有知识库。

2. 发明申请

WO2009069134A3 FUNCTIONAL ANALYSIS OF NEUROPHYSIOLOGICAL DATA 审中-公开
标题翻译：神经生理学数据的功能分析
公开(公告)号：WO2009069134A3
公开(公告)日：2010-03-11
申请号：PCT/IL2008001558
申请日：2008-11-30
申请人： ELMINDA LTD , SHAHAF GODED , GEVA AMIR , CARMELI TOMER , PINCHUK NOGA , TAUBER ISRAEL , RECHES AMIT , BEN-BASSAT GUY , KANTER AYELET , GORDON URIT
发明人： SHAHAF GODED , GEVA AMIR , CARMELI TOMER , PINCHUK NOGA , TAUBER ISRAEL , RECHES AMIT , BEN-BASSAT GUY , KANTER AYELET , GORDON URIT
IPC分类号： A61B5/04
CPC分类号： A61B5/04012 , A61B5/04009 , A61B5/0476 , A61B5/0482 , A61B5/7203 , A61B5/726 , A61B5/742
摘要： A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determine one or more patterns.
摘要翻译：通过分解神经生理数据和EEG信号来形成多个信号特征来进行神经生理学数据的功能分析的方法。然后可以可选地分析信号特征以确定一个或多个图案。

3. 发明申请

WO2009069135A3 SYSTEM AND METHOD FOR NEURAL MODELING OF NEUROPHYSIOLOGICAL DATA 审中-公开
公开(公告)号：WO2009069135A3
公开(公告)日：2009-06-04
申请号：PCT/IL2008/001559
申请日：2008-11-30
申请人： ELMINDA LTD. , SHAHAF, Goded , PINCHUK, Noga , BEN-BASSAT, Guy , GEVA, Amir , TAUBER, Israel , RECHES, Amit , KANTER, Ayelet , GORDON, Urit
发明人： SHAHAF, Goded , PINCHUK, Noga , BEN-BASSAT, Guy , GEVA, Amir , TAUBER, Israel , RECHES, Amit , KANTER, Ayelet , GORDON, Urit
IPC分类号： G06F15/18
摘要： ABSTRACT 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.

4. 发明申请

WO2009069134A2 FUNCTIONAL ANALYSIS OF NEUROPHYSIOLOGICAL DATA 审中-公开
标题翻译：神经病理学数据的功能分析
公开(公告)号：WO2009069134A2
公开(公告)日：2009-06-04
申请号：PCT/IL2008/001558
申请日：2008-11-30
申请人： ELMINDA LTD. , SHAHAF, Goded , GEVA, Amir , CARMELI, Tomer , PINCHUK, Noga , TAUBER, Israel , RECHES, Amit , BEN-BASSAT, Guy , KANTER, Ayelet , GORDON, Urit
发明人： SHAHAF, Goded , GEVA, Amir , CARMELI, Tomer , PINCHUK, Noga , TAUBER, Israel , RECHES, Amit , BEN-BASSAT, Guy , KANTER, Ayelet , GORDON, Urit
CPC分类号： A61B5/04012 , A61B5/04009 , A61B5/0476 , A61B5/0482 , A61B5/7203 , A61B5/726 , A61B5/742
摘要： A method for functional analysis of neurophysiological data.
摘要翻译：神经生理学数据的功能分析方法。

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