硬膜外電位計測によるラットの運動状態推定の基礎研究

• 上嶋 健嗣

  東京大学

• 藤井 俊行

  東京大学

• 加藤 龍

  東京大学

• 瀧田 正寿

  産業技術総合研究所

• 横井 浩史

  東京大学

書誌事項

タイトル別名

• Estimation of Movement by Epidural Potential Measurement
• コウマク ガイデンイ ケイソク ニ ヨル ラット ノ ウンドウ ジョウタイ スイテイ ノ キソ ケンキュウ

抄録

A low-invasive method to record neural activity is required for safe and practical brain-machine interfaces (BMI). BMIs are expected to be used to reintegrate motor functions of physically disabled persons; however, conventional invasive methods require electrodes inside the dura mater. In this study, the authors used epidural electrodes, which are located between the skull and dura mater, to record rat neural activity for low-invasive BMI. The signals were analyzed using short-time Fourier transform, and the power spectra were classified into rat behavioral conditions by an artificial neural network and a support vector machine. The accuracy was approximately 60∼85% in two behavioral conditions classifications according to the tested electrodes' locations and frequency bands. The results indicated the feasibility of low-invasive BMI using epidural electrodes.

収録刊行物

• 日本ロボット学会誌

  日本ロボット学会誌 27 (7), 732-738, 2011

  一般社団法人 日本ロボット学会

キーワード

• Brain-machine Interface
• Bio Electrode
• Pattern Recognition
• Artificial Neural Network
• Support Vector Machine

詳細情報

• CRID: 1390001204727755648
• NII論文ID: 10025114187
• NII書誌ID: AN00141189
• DOI: 10.7210/jrsj.27.732
• ISSN: 18847145
• ISSN: 02891824
• NDL書誌ID: 10373928
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10373928
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