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Comprehensive measurement of stroke gait characteristics with a single accelerometer in the laboratory and community: a feasibility, validity and reliability study

机译:在实验室和社区使用单个加速度计全面测量中风步态特征:可行性,有效性和可靠性研究

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摘要

BackgroundudApplication of objective measurement of stroke gait with accelerometer-based wearable technology and associated algorithms is increasing, despite reports questioning the accuracy of this technique in quantifying specific stroke-related gait impairments. The aim of this study is to determine the feasibility, validity and reliability of a low-cost open-source system incorporating algorithms and a single tri-axial accelerometer-based wearable to quantify gait characteristics in the laboratory and community post-stroke.ududMethodsudTwenty-five participants with stroke wore the wearable (AX3, Axivity) on the lower back during a laboratory 2 minute continuous walk (preferred pace) on two occasions a week apart and continuously in the community for two consecutive 7 day periods. Video, instrumented walkway (GaitRite) and an OPAL accelerometer-based wearable were used as laboratory references.ududResultsudFeasibility of the proposed system was good. The system was valid for measuring step count (ICC 0.899). Inherent differences in gait quantification between algorithm and GaitRite resulted in difficulties comparing agreement between the different systems. Agreement was moderate-excellent (ICC 0.503–0.936) for mean and variability gait characteristics vs. OPAL. Agreement was moderate-poor between the system and OPAL for asymmetry characteristics. Moderate-excellent reliability (ICC 0.534–0.857) was demonstrated for 11/14 laboratory measured gait characteristics. Community test-retest reliability was good-excellent (ICC 0.867–0.983) for all except one (ICC 0.699) of the 19 gait characteristics.ududConclusionudThe proposed system is a low-cost, reliable tool for quantifying gait post-stroke with multiple potential applications. Further refinement to optimise gait quantification algorithms for certain gait characteristics including gait asymmetry is required.
机译:背景 ud基于加速度计的可穿戴技术和相关算法对步态进行客观测量的应用正在增加,尽管有报道质疑这种技术在量化特定的与步态有关的步态障碍中的准确性。这项研究的目的是确定一种低成本开放源代码系统的可行性,有效性和可靠性,该系统结合了算法和基于单三轴加速度计的可穿戴设备,以量化实验室和社区中风后的步态特征。 udMethods ud有25名中风的参与者每周两次在实验室连续2分钟连续步行2分钟(优选的步伐),并在社区连续两个7天的时间里在腰背上佩戴可穿戴设备(AX3,Axivity)。视频,人行道(GaitRite)和基于OPAL加速度计的可穿戴设备被用作实验室参考。 ud udResults ud所提出系统的可行性很好。该系统对于测量步数有效(ICC 0.899)。算法和GaitRite之间步态量化的内在差异导致比较不同系统之间的一致性存在困难。与OPAL相比,平均步态和变异步态特征的一致性中等(ICC 0.503–0.936)。系统和OPAL之间由于不对称特性而达成的协议中等差。 11/14实验室测得的步态特征显示出中等优异的可靠性(ICC 0.534–0.857)。除了19个步态特征中的一个(ICC 0.699)以外,所有社区的重测信度都很好(ICC 0.867–0.983)。 ud ud结论 ud所提出的系统是一种低成本,可靠的量化步态后步态的工具。有多种潜在应用的中风。需要进一步优化以针对包括步态不对称性在内的某些步态特征优化步态量化算法。

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