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1. 发明申请

WO2011086563A2 METHOD AND SYSTEM FOR WEIGHTED ANALYSIS OF NEUROPHYSIOLOGICAL DATA 审中-公开
标题翻译：神经生理学数据加权分析方法与系统
公开(公告)号：WO2011086563A2
公开(公告)日：2011-07-21
申请号：PCT/IL2011/000055
申请日：2011-01-18
申请人： ELMINDA LTD. , SHAHAF, Goded , RECHES, Amit , GEVA, Amir, B. , PINCHUK, Noga , BEN-BASSAT, Guy , KANTER, Ayelet , SHANI-HERSHKOVICH, Revital , GADOT, Ronen , STERN, Yaki
发明人： SHAHAF, Goded , RECHES, Amit , GEVA, Amir, B. , PINCHUK, Noga , BEN-BASSAT, Guy , KANTER, Ayelet , SHANI-HERSHKOVICH, Revital , GADOT, Ronen , STERN, Yaki
IPC分类号： G06F19/00
CPC分类号： A61B5/048 , A61B5/0484 , A61B5/4064 , G06F19/00 , G16H50/30 , G16H50/70
摘要： A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
摘要翻译：公开了分析神经生理学数据的方法。该方法包括：识别数据中的活动相关特征，构建具有多个节点的大脑网络活动（BNA）模式，每个节点表示活动相关特征的特征，以及为每对节点分配连接权重 BNA模式。

2. 发明申请

WO2007138579B1 NEUROPSYCHOLOGICAL SPATIOTEMPORAL PATTERN RECOGNITION 审中-公开
标题翻译：神经心理学时空模式识别
公开(公告)号：WO2007138579B1
公开(公告)日：2008-03-13
申请号：PCT/IL2007000639
申请日：2007-05-27
申请人： ELMINDA LTD , SHAHAF GODED , GEVA AMIR B
发明人： SHAHAF GODED , GEVA AMIR B
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： A61B5/7246 , A61B5/04008 , A61B5/04012 , A61B5/0476 , A61B5/7275 , G06F17/18 , G06F19/3437 , G06K9/00543 , G06K9/6224 , G16H50/50
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.
摘要翻译：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。知识库是通过从多个研究小组获取特定行为过程的信号，将参与特定行为过程的活动源本地化，识别行为过程的大脑活动模式集以及神经心理学分析局部源和识别的模式每个研究小组。神经心理学分析包括识别所识别模式组的所有可能途径，基于特定行为过程的可能性对可能途径进行排序，并基于额外约束减少排列的可能途径的数量。提供了一种用于将从个体获得的信号与创建的知识库进行比较的系统。这些获得的信号被用来进一步更新现有的知识库。

3. 发明申请

WO2002073526A2 CEREBRAL PROGRAMMING 审中-公开
标题翻译： CEREBRAL编程
公开(公告)号：WO2002073526A2
公开(公告)日：2002-09-19
申请号：PCT/IL2002/000204
申请日：2002-03-13
申请人： WIDE HORIZON HOLDINGS INC. , MAROM, Shimon , SHAHAF, Goded , ROUSSO, Benny , BEN HAIM, Shlomo
发明人： MAROM, Shimon , SHAHAF, Goded , ROUSSO, Benny , BEN HAIM, Shlomo
IPC分类号： G06N
CPC分类号： A61N1/36082 , A61N1/08 , A61N1/36017 , A61N1/36021 , A61N1/36025 , A61N1/36071 , G06N3/061
摘要： A method of training a biological neural network using a controller, comprising: applying a cycle comprising: stimulating a neural network by said controller applying at least an input signal to the network; detecting an output response of the network by said controller; and modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal.
摘要翻译：使用控制器训练生物神经网络的方法包括以下步骤：应用包括使用所述控制器刺激神经网络的循环的步骤，所述循环至少施加到所述网络（204）的输入信号，通过所述控制器检测所述网络的输出响应（206），如果所述响应匹配期望的至少近似响应（208），则至少修改所述神经网络的刺激至少一段时间，并重复所述刺激，检测和修改的循环至少一次（212 ），直到训练神经网络以产生用于所述输入信号的期望的输出响应。

4. 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。

5. 发明申请

WO2007138579A3 NEUROPSYCHOLOGICAL SPATIOTEMPORAL PATTERN RECOGNITION 审中-公开
标题翻译：神经病理学空间格局识别
公开(公告)号：WO2007138579A3
公开(公告)日：2008-01-31
申请号：PCT/IL2007000639
申请日：2007-05-27
申请人： ELMINDA LTD , SHAHAF GODED , GEVA AMIR B
发明人： SHAHAF GODED , GEVA AMIR B
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： A61B5/7246 , A61B5/04008 , A61B5/04012 , A61B5/0476 , A61B5/7275 , G06F17/18 , G06F19/3437 , G06K9/00543 , G06K9/6224 , G16H50/50
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.
摘要翻译：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。

6. 发明申请

WO2011086563A3 METHOD AND SYSTEM FOR WEIGHTED ANALYSIS OF NEUROPHYSIOLOGICAL DATA 审中-公开
标题翻译：神经生理学数据加权分析方法与系统
公开(公告)号：WO2011086563A3
公开(公告)日：2012-03-29
申请号：PCT/IL2011000055
申请日：2011-01-18
申请人： ELMINDA LTD , SHAHAF GODED , RECHES AMIT , GEVA AMIR B , PINCHUK NOGA , BEN-BASSAT GUY , KANTER AYELET , SHANI-HERSHKOVICH REVITAL , GADOT RONEN , STERN YAKI
发明人： SHAHAF GODED , RECHES AMIT , GEVA AMIR B , PINCHUK NOGA , BEN-BASSAT GUY , KANTER AYELET , SHANI-HERSHKOVICH REVITAL , GADOT RONEN , STERN YAKI
IPC分类号： G06F19/00
CPC分类号： A61B5/048 , A61B5/0484 , A61B5/4064 , G16H50/30 , G16H50/70
摘要： A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
摘要翻译：公开了分析神经生理学数据的方法。该方法包括：识别数据中的活动相关特征，构建具有多个节点的大脑网络活动（BNA）模式，每个节点表示活动相关特征的特征，以及为每对节点分配连接权重 BNA模式。

7. 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。

8. 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.

9. 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。

10. 发明申请

WO2009069136A3 CLINICAL APPLICATIONS OF NEUROPSYCHOLOGICAL PATTERN ANALYSIS AND MODELING 审中-公开
标题翻译：神经病理学模式分析与建模临床应用
公开(公告)号：WO2009069136A3
公开(公告)日：2010-03-11
申请号：PCT/IL2008001560
申请日：2008-11-30
申请人： ELMINDA LTD , SHAHAF GODED , BEN-BASSAT GUY , GORDON URIT , GEVA AMIR , RECHES AMIT , KANTER AYELET , PINCHUK NOGA
发明人： SHAHAF GODED , BEN-BASSAT GUY , GORDON URIT , GEVA AMIR , RECHES AMIT , KANTER AYELET , PINCHUK NOGA
IPC分类号： G06E3/00
CPC分类号： A61B5/0482 , A61B5/0488 , A61B5/4064 , G16H50/50
摘要： A method for applying a predictive neural model in a clinical setting. The predictive neural model is preferably able to predict the effect of a particular pathology and/or treatment on the brain in advance. Optionally (and alternatively or additionally) a simulation of the effect of a particular pathology and/or treatment on the brain is preferably performed by using the neural model. The neural model preferably includes neurophysiological and neuropsychological data. As used herein, the term 'treatment' preferably includes one or more of pharmacological, surgical or rehabilitative interventions.
摘要翻译：一种在临床环境中应用预测神经模型的方法。预测神经模型优选能够预先预测特定病理学和/或治疗对脑的影响。任选地（或者替代地或另外地）优选地通过使用神经模型来执行特定病理学和/或治疗对脑的影响的模拟。神经模型优选包括神经生理学和神经心理学数据。如本文所用，术语“治疗”优选包括药理学，手术或康复干预中的一种或多种。

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