Nec Corporation

Tetsuji Tanigawa

Tomoharu Kiyuna

Toshimasa Yamazaki

Kamjio Ken'Ichi

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.

System and method for predicting internal condition of live body

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.

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Tokyo, Japan

Tetsuji Tanigawa