与口头命令相比,强度传感器减少了测量误差,这是在对大脑自我调节的坐站评估期间进行的
Alicen A Whitaker1,2,3, Eric D Vidoni4,5, Robert N Montgomery6
1Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, Kansas, USA.
Physiological reports
|June 12, 2023
概括
一个力传感器客观地检测站立 (起降,AO),提高动态大脑自我调节 (dCA) 时间延迟 (TD) 计算的准确性. 与传统的口头命令定时相比,这种方法提高了TD测量精度.
科学领域:
- 神经科学是一个神经科学.
- 身体生理学 身体生理学
- 生物医学工程 生物医学工程
背景情况:
- 动态大脑自调节 (dCA) 对于维持稳定的大脑血流至关重要.
- 目前测量dCA时间延迟 (TD) 的方法依赖于主观的口头命令.
- 需要客观地测量从坐到站的过渡,以改善dCA评估.
研究的目的:
- 调查使用力传感器来检测出现和关闭 (AO) 事件是否可以提高dCA时间延迟 (TD) 计算的准确性.
- 为了比较从AO计算的TD与口头命令.
- 评估年龄和中风对TD测量误差的影响.
主要方法:
- 中脑动脉血速 (MCAv) 和平均动脉压 (MAP) 在坐立动作中被记录.
- 时间延迟 (TD) 从口头命令和力传感器检测到的AO计算到脑血管导电率指数 (CVCi) 的增加.
- 参与者包括年轻人,老年人和中风后的人.
主要成果:
- 从AO (2.98 ± 1.64秒) 计算的TD显著短于从口头命令 (3.35 ± 1.72秒) 计算的TD.
- 与口头命令相比,使用AO提高了大约17%的TD测量精度.
- TD测量误差不受年龄或中风状态的影响.
结论:
- 一个力传感器提供了一个客观和更准确的方法来计算dCA测量的TD.
- 与当前的估计技术相比,这种客观方法可以提高DT计算精度.
- 强度传感器方法适用于对不同成年人群的dCA评估,包括中风后的人群.
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