用于慢性中风患者步态测量的压力鞋垫的准确性、并发有效性和测试-再测可靠性

Saskia Neumann, Christoph M. Bauer, Luca Nastasi, Julia Läderach, Eva Thürlimann, A. Schwarz, J.P.O. Held, C. A. Easthope
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引用次数: 0

摘要

导言:可穿戴设备是了解神经系统疾病患者移动行为及其如何随健康状况变化(如康复后)的潜在重要工具。然而,准确检测步态事件是评估步态表现和质量的关键,但由于步态模式具有高度的个体特异性,而且在运动和速度方面差异很大,尤其是在中风后,因此检测步态事件具有挑战性。因此,本研究旨在评估一种市售鞋垫系统在检测慢性中风患者步态事件和计算站立持续时间方面的准确性、并发有效性和重复测试可靠性。方法 收集了 17 名慢性中风患者的压力鞋垫数据,在临床环境中进行了两次测量,每次测量包括三次 10 分钟的步行测试。步态评估是用摄像机记录的,摄像机作为地面实况,压力鞋垫作为实验系统。我们比较了不同系统的步态事件数量和站立持续时间。结果与讨论 在全部 3,820 个步态事件中,90.86% 被鞋垫系统正确识别。所有测量的召回值在 0.994 到 1 之间,精确度为 1。F1 得分为 0.997 至 1。在计算站立持续时间时,观察到了极好的绝对一致性(类内相关系数,ICC = 0.874),鞋垫系统记录的站立持续时间稍长(差异为-0.01 秒)。布兰德-阿尔特曼分析表明,一致性极限为 0.33 秒,且不受步行速度变化的影响。这种一致性使该系统非常适合中风后的患者。T1 和 T2 测量时间点之间的重复测试可靠性非常好(ICC = 0.928)。T1 和 T2 的站立时间平均相差 0.03 秒。我们的结论是,鞋垫系统可在临床环境中用于定量评估中风患者的连续行走能力。
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Accuracy, concurrent validity, and test–retest reliability of pressure-based insoles for gait measurement in chronic stroke patients
Introduction Wearables are potentially valuable tools for understanding mobility behavior in individuals with neurological disorders and how it changes depending on health status, such as after rehabilitation. However, the accurate detection of gait events, which are crucial for the evaluation of gait performance and quality, is challenging due to highly individual-specific patterns that also vary greatly in movement and speed, especially after stroke. Therefore, the purpose of this study was to assess the accuracy, concurrent validity, and test–retest reliability of a commercially available insole system in the detection of gait events and the calculation of stance duration in individuals with chronic stroke. Methods Pressure insole data were collected from 17 individuals with chronic stroke during two measurement blocks, each comprising three 10-min walking tests conducted in a clinical setting. The gait assessments were recorded with a video camera that served as a ground truth, and pressure insoles as an experimental system. We compared the number of gait events and stance durations between systems. Results and discussion Over all 3,820 gait events, 90.86% were correctly identified by the insole system. Recall values ranged from 0.994 to 1, with a precision of 1 for all measurements. The F1 score ranged from 0.997 to 1. Excellent absolute agreement (Intraclass correlation coefficient, ICC = 0.874) was observed for the calculation of the stance duration, with a slightly longer stance duration recorded by the insole system (difference of −0.01 s). Bland–Altmann analysis indicated limits of agreement of 0.33 s that were robust to changes in walking speed. This consistency makes the system well-suited for individuals post-stroke. The test–retest reliability between measurement timepoints T1 and T2 was excellent (ICC = 0.928). The mean difference in stance duration between T1 and T2 was 0.03 s. We conclude that the insole system is valid for use in a clinical setting to quantitatively assess continuous walking in individuals with stroke.
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