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In this study, we integrate ML algorithms to enhance the new mouth-controlled computer mouse IntegraMouse Air. This device is designed to empower paraplegics, facilitating self-directed digital work, study and communication. Our approach incorporates a ML-based respiratory training component, combining expert medical input and supervised learning methods. We seek to offer patients a personalized training experience, providing guidance and tailored suggestions for optimal training levels, based on measurements, meta-data and training history.

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Personalized ML-Assisted Respiratory Muscle Training for Patients with Paraplegia

  • 会议论文

  • 发表日期：

    2025年

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  • Alfredo López,
  • Clara Schachner,
  • Shahzaib Khan,
  • Tabarka Rajab,
  • Manuela Geiß

摘要

In this study, we integrate ML algorithms to enhance the new mouth-controlled computer mouse IntegraMouse Air. This device is designed to empower paraplegics, facilitating self-directed digital work, study and communication. Our approach incorporates a ML-based respiratory training component, combining expert medical input and supervised learning methods. We seek to offer patients a personalized training experience, providing guidance and tailored suggestions for optimal training levels, based on measurements, meta-data and training history.