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基于仪器化步道数据确定时空步态变量的程序比较:PKmas与GAITRite

Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite.

作者信息

Egerton Thorlene, Thingstad Pernille, Helbostad Jorunn L

机构信息

Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

BMC Res Notes. 2014 Aug 18;7:542. doi: 10.1186/1756-0500-7-542.

Abstract

BACKGROUND

Measurement of temporal-spatial gait variables is common in aging research with several methods available. This study investigated the differences in temporal-spatial gait outcomes derived from two different programs for processing instrumented walkway data.

METHOD

Data were collected with GAITRite® hardware from 86 healthy older people and 44 older people four months following surgical repair of hip fracture. Temporal-spatial variables were derived using both GAITRite® and PKmas® processing programs from the same raw footfall data.

RESULTS

The mean differences between the two programs for most variables were negligible, including for Speed (mean difference 0.3 ± 0.6 cm/sec, or 0.3% of the mean GAITRite® Speed). The mean absolute percentage difference for all 18 gait variables examined ranged from 0.04% for Stride Duration to 66% for Foot Angle. The ICCs were almost perfect (≥0.99) for all variables apart from Base Width, Foot Angle, Stride Length Variability, Step Length Variability, Step Duration Variability and Step Width Variability, which were all never-the-less above 0.84. There were systematic differences for Base Width (PKmas® values 1.6 cm lower than GAITRite®) and Foot Angle (PKMAS® values 0.7° higher than GAITRite®). The differences can be explained by the differences in definitions and calculations between the programs.

CONCLUSIONS

The study demonstrated that for most variables the outcomes from both programs can be used interchangeably for evaluation of gait among older people collected with GAITRite® hardware. However, validity and reliability for Base Width and Foot Angle derived by PKMAS® would benefit from further investigation.

摘要

背景

在衰老研究中,时空步态变量的测量很常见,有多种方法可用。本研究调查了两种不同的处理仪器化步道数据程序所得到的时空步态结果的差异。

方法

使用GAITRite®硬件收集了86名健康老年人和44名髋部骨折手术修复四个月后的老年人的数据。从相同的原始脚步数据中,使用GAITRite®和PKmas®处理程序得出时空变量。

结果

两个程序在大多数变量上的平均差异可以忽略不计,包括速度(平均差异为0.3±0.6厘米/秒,或GAITRite®平均速度的0.3%)。所检查的所有18个步态变量的平均绝对百分比差异范围从步幅持续时间的0.04%到足角的66%。除了步宽、足角、步幅长度变异性、步长变异性、步幅持续时间变异性和步宽变异性外,所有变量的组内相关系数(ICC)几乎都是完美的(≥0.99),不过这些变量的ICC也都高于0.84。步宽存在系统性差异(PKmas®值比GAITRite®低1.6厘米),足角也存在系统性差异(PKMAS®值比GAITRite®高0.7°)。这些差异可以通过程序之间定义和计算的差异来解释。

结论

该研究表明,对于大多数变量,两个程序的结果都可互换用于评估使用GAITRite®硬件收集的老年人的步态。然而,PKMAS®得出的步宽和足角的有效性和可靠性还有待进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6661/4150969/c23749c4f604/13104_2013_3088_Fig1_HTML.jpg

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