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Updated: Sep 9, 2025

Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle
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Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle

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sEMGとMMGのシグナルを融合させることで,手作業での筋疲労の分類に関する研究

Zheng Wang1, Xiaorong Guan1,2, Dingzhe Li1

  • 1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究では,表面電筋グラフィ (sEMG) と機械筋グラフィ (MMG) の信号を融合させることで,重い物を持ち上げる時の筋肉の疲労を分析するための新しい方法が導入されています. トランスフォーマー (BP + BERT) アルゴリズムによるバックプロパガンダニューラルネットワークと双方向エンコーダーの表現は,筋肉の疲労を分類する際に98.10%の精度を達成しました.

キーワード:
バックプロパガンダニューラルネットワークとBERTディープラーニングメカニカミオグラフィー筋肉の疲労表面電気ミオグラフィー

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