首页> 外国专利> INTRACEREBRAL NETWORK ACTIVITY ESTIMATION SYSTEM, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION METHOD, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION PROGRAM, AND LEARNED BRAIN ACTIVITY ESTIMATION MODEL

INTRACEREBRAL NETWORK ACTIVITY ESTIMATION SYSTEM, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION METHOD, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION PROGRAM, AND LEARNED BRAIN ACTIVITY ESTIMATION MODEL

机译:脑内网络活动性估计系统,脑内网络活动性估计方法,脑内网络活动性估计程序和学习的脑活动性估计模型

摘要

A brain network activity estimation system (1) includes means for obtaining brain wave measurement data (121) and functional magnetic resonance imaging measurement data (122) simultaneously measured from a subject (S), means (152) for constructing a feature estimation model (10) which receives the brain wave measurement data as input data and determining a parameter which defines the feature estimation model, means (154) for calculating a feature value for each module based on an output value from each module that is calculated when the brain wave measurement data is provided as the input data, means (158) for calculating an image feature value for each brain network based on the functional magnetic resonance imaging measurement data, and means (160) for determining one or more modules which express activities of a specific brain network among a plurality of modules by evaluating correlation between the feature value for each module and the image feature value for each brain network.
机译:脑网络活动估计系统(1)包括用于获取从被检者(S)同时测量的脑波测量数据(121)和功能磁共振成像测量数据(122)的装置,用于构建特征估计模型( 10)接收脑波测量数据作为输入数据,并确定定义特征估计模型的参数,装置(154),用于基于当脑电波计算出的每个模块的输出值来计算每个模块的特征值提供测量数据作为输入数据,用于基于功能磁共振成像测量数据为每个大脑网络计算图像特征值的装置(158),以及用于确定表示特定活动的一个或多个模块的装置(160)通过评估每个模块的特征值和每个大脑网络的图像特征值之间的相关性,在多个模块之间建立大脑网络。

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