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用于评估家庭训练的步态和平衡监测系统比较。

System Comparison for Gait and Balance Monitoring Used for the Evaluation of a Home-Based Training.

机构信息

Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, 52428 Juelich, Germany.

Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Juelich, 52428 Juelich, Germany.

出版信息

Sensors (Basel). 2022 Jun 30;22(13):4975. doi: 10.3390/s22134975.

Abstract

There are currently no standard methods for evaluating gait and balance performance at home. Smartphones include acceleration sensors and may represent a promising and easily accessible tool for this purpose. We performed an interventional feasibility study and compared a smartphone-based approach with two standard gait analysis systems (force plate and motion capturing systems). Healthy adults ( = 25, 44.1 ± 18.4 years) completed two laboratory evaluations before and after a three-week gait and balance training at home. There was an excellent agreement between all systems for stride time and cadence during normal, tandem and backward gait, whereas correlations for gait velocity were lower. Balance variables of both standard systems were moderately intercorrelated across all stance tasks, but only few correlated with the corresponding smartphone measures. Significant differences over time were found for several force plate and mocap system-obtained gait variables of normal, backward and tandem gait. Changes in balance variables over time were more heterogeneous and not significant for any system. The smartphone seems to be a suitable method to measure cadence and stride time of different gait, but not balance, tasks in healthy adults. Additional optimizations in data evaluation and processing may further improve the agreement between the analysis systems.

摘要

目前尚无在家中评估步态和平衡能力的标准方法。智能手机配备了加速传感器,可能是一种很有前途且易于使用的工具。我们进行了一项干预性可行性研究,比较了基于智能手机的方法与两种标准步态分析系统(测力板和运动捕捉系统)。健康成年人(n=25,44.1±18.4 岁)在家中进行了为期 3 周的步态和平衡训练前后,分别完成了两次实验室评估。在正常、并足和倒退步态下,所有系统的步幅时间和步频都有很好的一致性,而步态速度的相关性较低。两个标准系统的平衡变量在所有站立任务中均呈中度相关性,但与相应的智能手机测量值相关性较低。在正常、后退和并足步态下,测力板和运动捕捉系统获得的多个步态变量随时间均有显著差异。任何系统的平衡变量随时间的变化均更具异质性且无统计学意义。智能手机似乎是一种合适的方法,可用于测量健康成年人不同步态的步频和步幅时间,但不能用于测量平衡任务。进一步优化数据评估和处理可能会进一步提高分析系统之间的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/9269735/1e53fa13bc8e/sensors-22-04975-g0A1.jpg

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