在慢性中风中使用的生物力学评估方法:对非线性方法的范围审查
Marta Freitas1,2,3,4, Francisco Pinho1,2, Liliana Pinho1,2,3,4
1Escola Superior de Saúde do Vale do Ave, Cooperativa de Ensino Superior Politécnico e Universitário, Rua José António Vidal, 81, 4760-409 Vila Nova de Famalicão, Portugal.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
这次范围审查发现,度,特别是样本度,是分析中风后人类运动复杂性的最常见的非线性方法. 这些方法有助于了解中风幸存者的运动系统适应性.
科学领域:
- 康复科学 康复科学 康复科学
- 生物医学工程 生物医学工程
- 神经科学是一个神经科学.
背景情况:
- 非线性和动态系统分析增强了对运动系统适应性的理解,特别是在中风后的个体中.
- 人类运动的复杂性对于评估神经损伤后的运动恢复和功能至关重要.
研究的目的:
- 系统地审查和总结应用到动力学,动力学和电肌学 (EMG) 数据的人类运动分析中风后的非线性测量.
- 确定在中风康复研究中调查的普遍的非线性技术和运动任务.
主要方法:
- 根据PRISMA-ScR指南进行范围审查,搜索PubMed,科学网,IEEE Xplore,科学直播和谷歌学者.
- 纳入标准侧重于2013年1月至2023年4月期间发表的研究,使用非线性动态分析中风后的人类运动.
- 从763个初始记录中选择了14篇文章.
主要成果:
- 度测量,特别是样本度,是最常见的非线性分析技术 (n=11).
- 其他确定措施包括分形分析,短期局部差异指数,最大Floquet乘数和Lyapunov指数.
- 研究调查了各种运动任务,肘部曲 (n=5) 和步行 (n=4) 是最常见的;动力分析使用运动捕捉专注于上肢关节角度.
结论:
- 目前,基于的测量方法是优选的非线性方法,用于量化慢性中风后成年人的运动复杂性.
- 这些发现凸显了对评估中风后运动控制和适应能力的非线性动力学日益增长的兴趣.
- 进一步的研究可能会从探索更广泛的非线性技术及其在中风康复中的临床实用性中获益.
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