B M I 開発のためのイメージング時の脳波成分解析

• 小越, 咲子

Bibliographic Information

Other Title

• BMI カイハツ ノ タメ ノ イメージングジ ノ ノウハ セイブン カイセキ
• EEG Analysis of Imagined Movement for EEG-Based Brain-Computer Interface

Abstract

The mirror neuron system (MNS) has been found to be active during perceived, imagined,and actual movement. The method by which mirror neuron activity can be monitored exploits the difference in firing patterns of resting versus active sensorimotor neurons; in the resting state, synchronous firing is present, which produces large amplitude 8- to 13-Hertz oscillations known as mu waves, which can be observed by means of electroencephalography (EEG). Our study found increases in mirror neuron system activation with simultaneous imagining and observing a hand movement. These fi ndings can be applied to Brain Machine Interfaces. The EEG quantifi cation of the impact of imagination upon mu wave activity creates the potential for this apparatus to serve in a Brain Machine Interface, in which biofeedback can be provided to subjects being trained to develop their imaginative capacities. We developed a Support Vector Machine (SVM) that classifi es EEG information that will, in the future, serve to open and close an artifi cial hand. The capacity to imagine coupled with effective training holds the promise of a Brain Machine Interface that could be of therapeutic benefi t for various disorders.

Journal

• 福井工業高等専門学校研究紀要. 自然科学・工学

  福井工業高等専門学校研究紀要. 自然科学・工学 49 77-81, 2016-03

  福井工業高等専門学校

Keywords

• Brain Machine Interface
• mu wave
• EEG classification
• mirror neuron
• maging

Details

• CRID: 1050564287738442496
• NII Article ID: 120005775288
• NII Book ID: AN0021492X
• ISSN: 03863352
• NDL BIB ID: 027259027
• Web Site: http://hdl.handle.net/10461/28131
• Web Site: http://id.ndl.go.jp/bib/027259027
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027259027
• Text Lang: ja
• Article Type: departmental bulletin paper
• Data Source:
  • IRDB
  • NDL
  • CiNii Articles
  • KAKEN