Concurrent validity of two-dimensional motion analysis using Kinovea for measuring spatiotemporal gait parameters in healthy individuals
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Abstract
Spatiotemporal gait parameters are usually used as crucial indicators for quantifying rehabilitation effectiveness and several clinical outcomes such as gait and balance ability, and risk of falls of many individuals. Kinovea is an open software for analyzing captured images. The validity of this software has been extensively studied for joint angle measurement, but it is unclear for the measurement of spatiotemporal parameters, which limits its application. Thus, the study explored the concurrent validity and agreement of Kinovea to detect spatiotemporal gait parameters as compared to a criterion measure. Fifty-one healthy participants (age range from 18 to 59 years) were instructed to walk along a 10-m walkway for three trials. Stride length, cadence, gait symmetry and walking speed were assessed using Kinovea and APDM® Mobility Lab (APDM) system. Pearson's correlation coefficients, concordance correlation coefficients (CCC) and Bland–Altman plot were utilized to explore the concurrent validity and agreement of the Kinovea findings and standard measures. Excellent validity and agreement were found for Kinovea in calculating spatiotemporal parameters (r > 0.95: CCC > 0.85, p-value < 0.001). Moreover, the Bland–Altman plot data were uniformly-scattered around the horizontal axis and under the limit of agreement. The findings conclusively confirm the validity of Kinovea for spatiotemporal parameters as verified using a standard measure. Thus, this software can be used as an alternative assessment for clinicians in various clinical-based and community-based settings.
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