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使用髋关节-膝关节步态环分析偏瘫脑卒中患者的步态特征。

Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke.

机构信息

Department of Rehabilitation Medicine, Hanyang University College of Medicine, 222-1, Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea.

Department of Technology Management, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea.

出版信息

Sensors (Basel). 2021 Nov 19;21(22):7685. doi: 10.3390/s21227685.

Abstract

Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait kinematics of multiple joints. Stroke patients ( = 47) were categorized into two groups according to stroke severity, and healthy controls ( = 32) were recruited. An inertial measurement unit sensor-based gait analysis system, which requires placing seven sensors on the dorsum of both feet, the shafts of both tibias, the middle of both femurs, and the lower abdomen, was used for the gait analysis. Then, the hip-knee cyclogram parameters (range of motion, perimeter, and area) were obtained from the collected data. The coefficient of variance of the cyclogram parameters was obtained to evaluate gait variability. The cyclogram parameters differed between the stroke patients and healthy controls, and differences according to stroke severity were also observed. The gait variability parameters mainly differed in patients with more severe stroke, and specific visualized gait patterns of stroke patients were obtained through cyclograms. In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant.

摘要

步态障碍是中风的常见后遗症。传统的步态分析在同时评估多个关节方面存在局限性。因此,我们使用髋关节-膝关节运动图研究了中风患者的步态特征,该方法具有同时可视化多个关节步态运动学的优势。根据中风严重程度,将中风患者(=47)分为两组,并招募了健康对照组(=32)。使用基于惯性测量单元传感器的步态分析系统,该系统需要在双脚的脚背、胫骨杆、股骨中部和下腹部放置七个传感器,进行步态分析。然后,从收集的数据中获得髋关节-膝关节运动图参数(运动范围、周长和面积)。获得运动图参数的变异系数以评估步态变异性。运动图参数在中风患者和健康对照组之间存在差异,并且根据中风严重程度也观察到了差异。步态变异性参数主要在中风程度更严重的患者中存在差异,并且通过运动图获得了中风患者特定的可视化步态模式。总之,显示中风患者关节间协调性和可视化步态周期的髋关节-膝关节运动图具有临床意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fac/8621813/25364483e715/sensors-21-07685-g001.jpg

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