Department of Physical Medicine & Rehabilitation, Korea University Guro Hospital, Seoul, South Korea.
Department of Physical Medicine & Rehabilitation, Korea University Guro Hospital, Seoul, South Korea.
Arch Phys Med Rehabil. 2021 Apr;102(4):611-618. doi: 10.1016/j.apmr.2020.10.115. Epub 2020 Nov 5.
To extract independent features from spatiotemporal data of poststroke gait.
Retrospective observational study.
Motion analysis laboratory in the rehabilitation department of a university hospital.
Convenience sample from inpatients in subacute recovery stage post stroke. Of 98 patients post stroke who underwent gait assessment, 69 patients post stroke were included in the data analysis (N=69). They could walk more than 10 m without personal assist or assistive devices.
Not applicable.
Spatiotemporal parameters during level walking and their asymmetry and variability were obtained by insole foot pressure measurement system.
Of independent components extracted by principal component analysis, 3 independent components explained 81.9% of total variance of spatiotemporal poststroke gait data. The first component has associations with walking speed and proportion of double support phase, and it explains 46.6% of total variance. The second component has association with temporal asymmetry, and it explains 21.1% of total variance. The third component has association with temporal variability, and it explains 14.2% of total variance. Principal component scores did not show significant differences between stroke types and among stroke lesions.
Temporal asymmetry and variability should be included in the assessment of poststroke gait during early rehabilitation. They are independent of each other and provide characteristics of poststroke gait that are independent to the walking speed. They are helpful for rehabilitation planning and developing treatment strategy in poststroke gait rehabilitation.
从脑卒中后步态的时空数据中提取独立特征。
回顾性观察研究。
大学医院康复科的运动分析实验室。
从处于亚急性期康复阶段的脑卒中住院患者中选择方便样本。在接受步态评估的 98 例脑卒中患者中,有 69 例脑卒中患者纳入数据分析(N=69)。他们能够在没有个人辅助或辅助设备的情况下行走超过 10 米。
不适用。
通过足底压力测量系统获得水平行走时的时空参数及其不对称性和可变性。
主成分分析提取的独立成分中,有 3 个独立成分解释了脑卒中后步态时空数据总方差的 81.9%。第一个成分与行走速度和双支撑相比例有关,解释了总方差的 46.6%。第二个成分与时间不对称性有关,解释了总方差的 21.1%。第三个成分与时间可变性有关,解释了总方差的 14.2%。主要成分得分在脑卒中类型和脑卒中病变之间没有显著差异。
在早期康复中,应将时间不对称性和可变性纳入脑卒中后步态的评估中。它们彼此独立,提供了与行走速度无关的脑卒中后步态特征。它们有助于制定脑卒中后步态康复的康复计划和治疗策略。