公开(公告)号：US5524086A

公开(公告)日：1996-06-04

申请号：US242084

申请日：1994-05-13

申请人： Tomoharu Kiyuna ,  Tetsuji Tanigawa ,  Kamjio Ken'Ichi

发明人： Tomoharu Kiyuna ,  Tetsuji Tanigawa ,  Kamjio Ken'Ichi

IPC分类号： A61B5/05 ,  G06N3/04 ,  G06T1/40

CPC分类号： G06N3/04 ,  Y10S128/925 ,  Y10S706/902

摘要： A trained neural network is used, for estimating the number, positions or moments of one or more dipoles which are assumed as sources of the electromagnetic field distribution based upon an electromagnetic field distribution of a living body or an object. At least either one of the dipole number, positions and moments or more than two of their combination is referred to as dipole parameters.

摘要翻译： 使用经过训练的神经网络，用于基于生物体或物体的电磁场分布来估计作为电磁场分布的来源的一个或多个偶极子的数量，位置或时刻。 偶极数，位置和力矩中的至少任一个或其组合中的两个以上被称为偶极参数。

公开(公告)号：US5785653A

公开(公告)日：1998-07-28

申请号：US506202

申请日：1995-07-24

申请人： Tomoharu Kiyuna ,  Tetsuji Tanigawa ,  Toshimasa Yamazaki

发明人： Tomoharu Kiyuna ,  Tetsuji Tanigawa ,  Toshimasa Yamazaki

IPC分类号： A61B5/04 ,  A61B5/0476 ,  A61B5/00

CPC分类号： A61B5/7267 ,  A61B5/04005 ,  A61B5/0476 ,  A61B5/7203 ,  A61B5/726 ,  Y10S706/924

摘要： A live body internal condition predicting and expressing system is capable of predicting the internal condition of a live body on the basis of an electromagnetic field distribution at significantly reduced period. The system comprises an electromagnetic field distribution measuring portion, a training data generating portion generating a plurality of training data on the basis of an electromagnetic field distribution derived from a head model data designating a head model and a predetermined dipole parameter and an internal condition category data describing a relationship between the active region of a brain and the internal condition of the live body, an inference portion deriving a numeric value representative of the active region of the brain from the electromagnetic field distribution in the training data with employing a neural network having predetermined coupling coefficients representative of coupling condition between each unit forming each layer and transforming portion transforming the numeric value representative of the active region in the brain output from said inferencing means into an expression indicative of the internal condition of the live body.

摘要翻译： 活体内部状况预测和表达系统能够以显着缩短的周期在电磁场分布的基础上预测活体的内部状况。 该系统包括电磁场分布测量部分，训练数据产生部分，基于从指定头部模型和预定偶极子参数的头部模型数据和内部条件类别数据导出的电磁场分布产生多个训练数据 描述大脑的活动区域和活体的内部状态之间的关系，推理部分利用具有预定的神经网络的训练数据中的电磁场分布来导出代表脑的活动区域的数值 耦合系数表示形成每个层的每个单元与转换部分之间的耦合条件的耦合条件，将代表从所述推理装置的脑输出中的有效区域的数值转换为表示活体内部状况的表达式。