Intracerebral current source estimation apparatus and program

A - Human Necessities – 61 – B

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A61B 5/05 (2006.01) A61B 5/04 (2006.01)

Patent

CA 2471746

By applying an appropriate current to a virtual curved surface between a current source and an observation surface, it is possible to restore an electromagnetic field generated by the current source. As the curved surface approaches the current source, the current spread over the curved surface becomes smaller. According to this fact, Beyes estimation is performed for the current source to restore the observation data. In this estimation, the model posteriori probability becomes maximum when the curved surface includes the current source. That is, by checking the model posteriori probability, it is possible to estimate the position of the current source including the depth direction. Moreover, when it is possible to simultaneously use observation data obtained by other observation means, the information is involved in the hierarchical pre-distribution when performing the Bayes estimation so as to perform estimation with a higher accuracy.

L'application d'un courant approprié sur une surface incurvée virtuelle, entre une source de courant et une surface d'observation, permet de restaurer un champ électromagnétique généré par ladite source de courant. Lorsque la surface incurvée s'approche de la source de courant, l'étalement du courant sur la surface incurvée diminue. Ainsi, une estimation de Bayes est effectuée pour la source de courant pour restaurer les données d'observation. Dans cette estimation, la probabilité a posteriori de ce modèle devient maximale lorsque la surface incurvée comprend la source de courant. C'est-à-dire que la vérification de la probabilité a posteriori de ce modèle permet d'estimer la position de la source de courant, y compris la direction de profondeur. En outre, lorsqu'il est possible d'utiliser simultanément des données d'observation obtenues par un autre moyen d'observation, les informations sont impliquées dans la prédistribution hiérarchique, lorsque l'on effectue l'estimation de Bayes, de sorte à obtenir une estimation plus précise.

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