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11. 发明申请

WO2007138579A2 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：WO2007138579A2
公开(公告)日：2007-12-06
申请号：PCT/IL2007/000639
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 , G06F19/00 , 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。

12. 发明申请

WO02073526A3 CEREBRAL PROGRAMMING 审中-公开
标题翻译：脑计划
公开(公告)号：WO02073526A3
公开(公告)日：2002-12-12
申请号：PCT/IL0200204
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： A61N1/08 , A61N1/34 , A61N1/36 , G06N3/06 , A61B5/00
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 includes the steps of applying a cycle comprising stimulating a neural network using the controller by applying at least an input signal to the network (204), detecting an output response of the network by the controller (206), modifying the stimulation of the neural network for at least a period of time if the response matches a desired at least approximate response (208), and repeating the cycle of stimulation, detection, and modification at least one more time (212) until the neural network is trained to generate a desired output response for said input signal.
摘要翻译：一种使用控制器训练生物神经网络的方法，包括以下步骤：应用包括利用控制器通过将至少一个输入信号应用于网络（204）来刺激神经网络的循环;通过控制器检测网络的输出响应（206），如果所述响应与期望的至少近似响应匹配（208），则修改所述神经网络的所述刺激达至少一段时间，并且重复所述刺激，检测和修改的所述循环至少再一次（212））直到神经网络被训练为产生对于所述输入信号的期望的输出响应。

13. 发明申请

WO2016207733A3 METHODS AND SYSTEMS FOR DETERMINATION OF MENTAL STATE 审中-公开
公开(公告)号：WO2016207733A3
公开(公告)日：2016-12-29
申请号：PCT/IB2016/001179
申请日：2016-06-23
申请人： SHAHAF, Goded
发明人： SHAHAF, Goded
IPC分类号： A61B5/0476 , A61B5/16 , A61B5/00 , A61B5/0478
摘要： Computer-implemented systems and methods are provided for determining indications of a mental state of a subject. A computing system may receive at least one electrophysiological signal from at least one pair of electrodes on a head of a subject. The system may store at least one threshold bio-electrical value, and compare a plurality of portions of the at least one electrophysiological signal with the stored value. The system may determine, based on the comparing, identities of portions of the at least one electrophysiological signal that surpass the stored at least one threshold bio-electrical value. The system may also determine the existence of a portion sequence among the portions of the at least one electrophysiological signal that surpass the stored at least one threshold bio-electrical value. And the system may output an indication of a mental state of the subject when it is determined that the portion sequence exists.

14. 发明申请

WO2016207733A2 METHODS AND SYSTEMS FOR DETERMINATION OF MENTAL STATE 审中-公开
标题翻译：用于确定精神状态的方法和系统
公开(公告)号：WO2016207733A2
公开(公告)日：2016-12-29
申请号：PCT/IB2016/001179
申请日：2016-06-23
申请人： SHAHAF, Goded
发明人： SHAHAF, Goded
IPC分类号： A61B34/10 , G06F19/00
CPC分类号： A61B5/165 , A61B5/0476 , A61B5/048 , A61B5/168 , A61B5/4094 , A61B5/4884 , A61B5/6803 , G16H50/20
摘要： Computer-implemented systems and methods are provided for determining indications of a mental state of a subject. A computing system may receive at least one electrophysiological signal from at least one pair of electrodes on a head of a subject. The system may store at least one threshold bio-electrical value, and compare a plurality of portions of the at least one electrophysiological signal with the stored value. The system may determine, based on the comparing, identities of portions of the at least one electrophysiological signal that surpass the stored at least one threshold bio-electrical value. The system may also determine the existence of a portion sequence among the portions of the at least one electrophysiological signal that surpass the stored at least one threshold bio-electrical value. And the system may output an indication of a mental state of the subject when it is determined that the portion sequence exists.
摘要翻译：提供计算机实现的系统和方法来确定受试者的精神状态的指示。计算系统可以从受试者头部上的至少一对电极接收至少一个电生理信号。系统可以存储至少一个阈值生物电值，并将至少一个电生理信号的多个部分与存储的值进行比较。该系统可以基于比较确定超过所存储的至少一个阈值生物电学值的至少一个电生理信号的部分的身份。所述系统还可以确定所述至少一个电生理信号的部分之间的部分序列的存在超过所存储的至少一个阈值生物电值。并且当确定部分序列存在时，系统可以输出对象的精神状态的指示。

15. 发明申请

WO2012137213A1 SYSTEM AND METHOD FOR DETECTING NEUROLOGICAL DETERIORATION 审中-公开
标题翻译：用于检测神经学检测的系统和方法
公开(公告)号：WO2012137213A1
公开(公告)日：2012-10-11
申请号：PCT/IL2012/050132
申请日：2012-04-05
申请人： NEUROKEEPER TECHNOLOGIES LTD. , HERSKOVITZ, Moshe , SHAHAF, Goded
发明人： HERSKOVITZ, Moshe , SHAHAF, Goded
IPC分类号： A61B5/048 , G06K9/00 , A61N1/36
CPC分类号： A61B5/0482 , A61B5/0006 , A61B5/0022 , A61B5/04012 , A61B5/048 , A61B5/0484 , A61B5/4806 , A61B5/4812 , A61B5/7246 , A61B5/7405 , A61B5/742 , A61M21/02 , A61M2021/0022 , A61M2021/0027 , A61M2021/0083 , A61M2230/005 , A61M2230/10 , G06F19/00 , G16H50/20
摘要： A system for detecting a neurological deterioration in a patient, the system constituted of: an analyzing module; and at least one input port arranged to receive a plurality of first samples of electroencephalographic (EEG) activity of the patient and a plurality of second samples of EEG activity of the patient and further arranged to output the received samples to the analyzing module, wherein the analyzing module is arranged to: compare a function of the received first EEG samples to a function of the received second EEG samples; determine the difference between the outcome of the comparison and a baseline value; and output a neurological deterioration signal responsive to the determined difference.
摘要翻译：一种用于检测患者神经系统恶化的系统，所述系统由以下部分构成：分析模块; 以及至少一个输入端口，布置成接收患者的脑电图（EEG）活动的多个第一样本和患者的脑电活动的多个第二样本，并且还被布置成将接收到的样本输出到分析模块，其中，分析模块被布置成：将所接收的第一EEG样本的功能与所接收的第二EEG样本的函数进行比较; 确定比较结果与基准值之间的差异; 并且响应于所确定的差异而输出神经学恶化信号。

16. 发明申请

WO2009069136A2 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：WO2009069136A2
公开(公告)日：2009-06-04
申请号：PCT/IL2008/001560
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
CPC分类号： A61B5/0482 , A61B5/0488 , A61B5/4064 , G06F19/00 , 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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