関連する実験動画

Updated: May 6, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
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Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

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運動画像の空間的,スペクトル的,時間的特性を統合するための多部門ネットワーク

Xiaoqin Lian1,2, Chunquan Liu1,2, Chao Gao1,2

  • 1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 102488, China.

Brain sciences
|August 28, 2025
PubMed
まとめ

この研究は,脳とコンピュータのインターフェース (BCI) のパフォーマンスを大幅に改善する,モーター画像 (MI) の電気脳波 (EEG) 信号の解読のための新しい多支部深層ニューラルネットワークを導入します. この高度なモデルは,複雑な空間,スペクトル,時間的な特徴を効果的に捉え,MI-EEGの解読精度を向上させます.

キーワード:
脳とコンピュータのインターフェース折り畳み神経ネットワーク深さで分離可能な回転電気脳図マルチクラスモーター画像パワースペクトル密度

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