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Updated: May 11, 2026

Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
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トランスフォーマーベースのマルチタスクニューラルネットワークを活用した非侵襲的統合スイングリング運動分析フレームワーク

Ayman Anwar1, Yassin Khalifa2, Erin Lucatorto3

  • 1Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.

Computers in biology and medicine
|August 20, 2025
PubMed
まとめ

新しいマルチタスク学習フレームワークは,非侵襲的な高解像度頸部聴覚 (HRCA) を使用して,飲み込む運動を正確に分析します. このアプローチは 飲み込み障害の診断に包括的で客観的な評価を提供しており 既存の方法よりも優れています

キーワード:
高解像度の子宮頸部アスクルテーションマルチタスク学習飲み込み運動トランスフォーマー

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Force Classification01:22

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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Multimachine Stability

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