Combined Simulation of Bioelectromagnetics and Nerve Activation and its Application

• Hirata Akimasa

  Nagoya Institute of Technology

• Laakso Ilkka

  Aalto University

• Gomez-Tames Jose

  Nagoya Institute of Technology

• Hontani Hidekata

  Nagoya Institute of Technology

Bibliographic Information

Other Title

• 生体における電磁界と神経発火モデルの融合解析と応用
• セイタイ ニ オケル デンジカイ ト シンケイ ハッカ モデル ノ ユウゴウ カイセキ ト オウヨウ

Abstract

The electric field in numerical human models has been used as an evaluation metric in the last 30 years. Recently, multiphysics, multi-scale modeling, and fast computation methods have advanced the state of the art in electrostimulation. These methods combined with image processing and machine learning are expected to bring personalized medicine in the near future. In this review, we presented two examples of electrostimulation; nerve root stimulation and brain stimulation. For the latter example, machine learning is demonstrated to successfully estimate the induced electric field in the brain.

Journal

• IEEJ Transactions on Fundamentals and Materials

  IEEJ Transactions on Fundamentals and Materials 138 (6), 265-270, 2018-06-01

  The Institute of Electrical Engineers of Japan

Keywords

• medical images
• machine learning
• nerve activation
• electromagnetic simulation
• patient-specific electro-stimulation

Details

• CRID: 1390001288036871296
• NII Article ID: 130007382636
• NII Book ID: AN10136312
• DOI: 10.1541/ieejfms.138.265
• ISSN: 13475533
• ISSN: 03854205
• NDL BIB ID: 029113570
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I029113570
• Web Site: https://www.jstage.jst.go.jp/article/ieejfms/138/6/138_265/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed