适应性控制方法用于带有惯性测量单元的步态检测和分类设备
Hyeonjong Kim1, Ji-Won Kim2,3, Junghyuk Ko1
1Division of Mechanical Engineering, (National) Korea Maritime and Ocean University, Busan 49112, Republic of Korea.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究开发了一种适应式步态检测和分类率 (GDCR) 控制算法,用于帕金森病患者. 新的算法有效地保持了步态参数,改善了康复援助.
科学领域:
- 生物医学工程 生物医学工程
- 康复技术 康复技术 康复技术
- 运动科学 运动科学
背景情况:
- 预兆和反训练对于帕金森病 (PD) 中的步态维护至关重要.
- 之前的研究开发了一种康复装置,用于在摇摆阶段检测步态.
- 优化步态检测和分类率 (GDCR) 对于有效的PD康复至关重要.
研究的目的:
- 在步态检测算法中分析影响GDCR的因素.
- 开发和验证适应性GDCR控制算法用于步行康复.
- 为了比较基于加速的控制方法与基于角速度的控制方法的有效性.
主要方法:
- 收集了25名参与者使用新型康复装置的加速和角速度数据.
- 开发了一个基于步态数据统计分析的自适应GDCR控制算法.
- 使用虚拟练习场景与加速和角速度控制方法测试了算法.
主要成果:
- 与陀螺门相比,加速门在控制GDCR方面表现出更高的有效性 (斯皮尔曼相关性-0.9996,p < 0.001).
- 适应性控制算法在维持目标GDCR方面显著优于其他方法 (p < 0.001),平均误差为0.10.
- 开发的算法对未来的步态分析应用具有良好的可扩展性.
结论:
- 一个自适应的GDCR控制算法显示了显著的希望,以提高帕金森病患者的步态康复.
- 基于加速度的控制在优化GDCR方面比基于角速度的控制更有效.
- 该算法的适应性和可扩展性支持其集成到未来的步态监测和治疗系统中.
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