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基于Kinect的方法在估计健康个体和中风后个体时空步态参数方面的可靠性及比较

Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals.

作者信息

Latorre Jorge, Llorens Roberto, Colomer Carolina, Alcañiz Mariano

机构信息

Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain; Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Río Tajo 1, 46011 Valencia, Spain.

Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain; Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Río Tajo 1, 46011 Valencia, Spain.

出版信息

J Biomech. 2018 Apr 27;72:268-273. doi: 10.1016/j.jbiomech.2018.03.008. Epub 2018 Mar 13.

Abstract

Different studies have analyzed the potential of the off-the-shelf Microsoft Kinect, in its different versions, to estimate spatiotemporal gait parameters as a portable markerless low-cost alternative to laboratory grade systems. However, variability in populations, measures, and methodologies prevents accurate comparison of the results. The objective of this study was to determine and compare the reliability of the existing Kinect-based methods to estimate spatiotemporal gait parameters in healthy and post-stroke adults. Forty-five healthy individuals and thirty-eight stroke survivors participated in this study. Participants walked five meters at a comfortable speed and their spatiotemporal gait parameters were estimated from the data retrieved by a Kinect v2, using the most common methods in the literature, and by visual inspection of the videotaped performance. Errors between both estimations were computed. For both healthy and post-stroke participants, highest accuracy was obtained when using the speed of the ankles to estimate gait speed (3.6-5.5 cm/s), stride length (2.5-5.5 cm), and stride time (about 45 ms), and when using the distance between the sacrum and the ankles and toes to estimate double support time (about 65 ms) and swing time (60-90 ms). Although the accuracy of these methods is limited, these measures could occasionally complement traditional tools.

摘要

不同的研究分析了现成的微软Kinect不同版本在估计时空步态参数方面的潜力,将其作为实验室级系统的一种便携式、无标记且低成本的替代方案。然而,人群、测量方法和研究方法的差异使得结果难以进行准确比较。本研究的目的是确定并比较现有基于Kinect的方法在估计健康成年人和中风后成年人时空步态参数时的可靠性。45名健康个体和38名中风幸存者参与了本研究。参与者以舒适的速度行走5米,使用文献中最常用的方法,并通过对录像表现的目视检查,从Kinect v2检索到的数据中估计他们的时空步态参数。计算两种估计之间的误差。对于健康参与者和中风后参与者,在使用脚踝速度估计步态速度(3.6 - 5.5厘米/秒)、步长(2.5 - 5.5厘米)和步幅时间(约45毫秒),以及使用骶骨与脚踝和脚趾之间的距离估计双支撑时间(约65毫秒)和摆动时间(60 - 90毫秒)时,获得了最高的准确性。尽管这些方法的准确性有限,但这些测量偶尔可以补充传统工具。

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