手指リハビリテーションロボットのためのデータ拡張を用いた筋電位に基づく動作意図抽出精度向上に関する研究

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書誌事項

タイトル別名
  • Improvement in motion intention extraction accuracy based on EMG using data augmentation for hand rehabilitation robot
公開日
2024
DOI
  • 10.1299/jsmermd.2024.2p1-f04
公開者
一般社団法人 日本機械学会

説明

<p>Robotic rehabilitation is attracting attention as a solution to improve the quality of life for post-stroke patients. Biological signals are often used as a trigger for actuating these robots to faciliate neurorehabilitation. In this study, we developed and evaluated an augmentation method for motion intention extraction using machine learning based on EMG signal for hand rehabilitation robots, aiming at improving the accuracy of motion intention extraction when applied to patients with cerebrovascular diseases.</p>

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