一种带有自适应算法的智能笔原型,用于稳定手写的震动信号,用于帕金森病
Jéssica Cristina Tironi1,2, Anita Fernandes1, Renata Coelho Borges2
1Polytechnic School, University of Vale do Itajaí (UNIVALI), Itajaí, 88302-901, SC, Brazil.
Scientific reports
|August 5, 2025
概括
这种智能笔使用自适应算法来减少手震,改善了帕金森病患者的写作. 卡尔曼波器为震缓解提供了一个快速,非侵入性的解决方案.
科学领域:
- 生物医学工程 生物医学工程
- 辅助技术 辅助技术 辅助技术
背景情况:
- 手显著影响写作质量和用户舒适度,特别是在患有帕金森病等神经疾病的人群中.
- 现有的辅助设备往往缺乏动态的,实时的震减轻能力.
研究的目的:
- 开发和评估一个智能笔原型,以动态减轻手震.
- 在写作环境中评估各种适应算法的实时震取消性能.
主要方法:
- 设计了一个智能笔原型,其中包含了加速度计,微控制器和振动电机.
- 模拟和测试了包括Fx-LMS,Fx-NLMS,RLS和卡尔曼波器在内的自适应算法.
- 使用NewHandPD数据集评估性能,并在轨道摇摆表上验证.
主要成果:
- 递归最小平方 (RLS) 算法在模拟中显示了最小的平均平方误差.
- 卡尔曼波器表现出明显更快的收,大约是RLS的八倍.
- 微控制器测试和摇摆表验证证了卡尔曼波器在各种震动条件下的有效性.
结论:
- 卡尔曼波器是一个有希望的,非侵入性的,适应性的解决方案,用于实时减轻智能写作设备中的震动.
- 智能笔原型显示出提高手震动患者的写作质量和用户舒适度的潜力.
- 未来的工作包括传感器集成和微控制器优化,以提高性能.
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