| 大会名称 |
| 2016年 ソサイエティ大会 |
| 大会コ－ド |
| 2016S |
| 開催年 |
|
2016
|
| 発行日 |
|
2016-09-06
|
| セッション番号 |
|
CS-2
|
| セッション名 |
|
コンピュータアーキテクチャを考慮したシミュレーション技術の最新動向
|
| 講演日 |
|
2016/9/21
|
| 講演場所(会議室等) |
|
工学部 N棟 N303
|
| 講演番号 |
|
CS-2-2
|
| タイトル |
|
Fast and Accurate Multiscale Computational Modeling For Personalized Neurostimulation
|
| 著者名 |
|
◎Jose Gomez-Tames, Akimasa Hirata,
|
| キーワード |
|
Multiscale, Fast Computation, Personalized Medicine, Biophysics, Neurostimulation
|
| 抄録 |
|
Neurostimulation method imposes an external electric field to modulate or initiate neuronal activity using stimulation coils (magnetic stimulation) or electrodes (electrical stimulation); however, inter-individual difference influences the induced electric field. Our aim is to develop a fast and accurate multiscale simulation platform for personalized medicine that will help visualization and facilitate informed decisions during neurostimulation application. This work introduces 1) fast computation using personalized anatomically based models, 2) multiscale integration of micro to macro effects in the tissues, 3) verification and validation of the model in transcranial direct-current stimulation, transcranial magnetic stimulation, and peripheral nerve stimulation.
|
| 本文pdf |
|
PDF download
|
