Kinovea软件测量与扰动训练相关的空间参数的可靠性

Jaison Jacob Mathunny, V. Karthik, Ashokkumar Devaraj, S Hari Krishnan
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引用次数: 4

摘要

Kinovea是一款低成本的2D运动分析软件。本研究的主要目的是检查Kinovea在计算与扰动训练相关的空间参数方面的性能,因为它尚未被研究,从而可以减少反应步进的计算成本分析。38名健康的年轻人采用精益和释放摄动技术产生空间参数,如步长(SL)、步宽(SW)和腿角(LA)。类内相关系数(ICC(3,1))量化了类内和类间的信度。估计95%置信区间的测量标准误差(SEM), SEM%和最小可检测变化(MDC95),以找到绝对信度。计算了内部信度的Bland-Altman图,找到了一致性的极限。结果表明,Kinovea软件是一种可靠的工具,可以在重复分析时产生可接受误差的原始值。Kinovea软件出色的ICC(3,1)值、绝对可靠性和较低的MDC95值表明,该软件可能是一种有价值的工具,可以分析并提供与扰动训练相关的可靠输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability of Kinovea software in measuring spatial parameters associated with perturbation training
Kinovea is a low-cost 2D motion analysis software. The main objective of this study is to examine the performance of Kinovea to compute spatial parameters related to perturbation training as it is not yet studied, allowing a less computational cost analysis of reactive stepping made possible. Thirty-eight healthy young adults performed the Lean and release perturbation technique to produce spatial parameters such as the Step length (SL), Step width (SW), and Leg angle (LA). The Intra-class Correlation Coefficient (ICC(3,1)) quantified the intra- and inter-rater reliability. The Standard Error of Measurement (SEM), SEM% and Minimal Detectable Change (MDC95) for the 95% confidence interval is estimated to find the absolute reliability. The Bland-Altman plot of intra-rater reliability is computed to find the limit of agreement. The results suggest that the Kinovea software is a reliable tool that can produce original values with acceptable error while repeating the analysis. Kinovea software’s excellent ICC(3,1) value, absolute reliability, and low MDC95 value suggests that the software may be a valuable tool to analyze and provide a reliable output related to perturbation training.
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