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Reliable and Rapid Robotic Assessment of Wrist Proprioception Using a Gauge Position Matching Paradigm

机译:使用量规位置匹配范例对腕部本体感受进行可靠快速的机器人评估

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摘要

Quantitative assessments of position sense are essential for the investigation of proprioception, as well as for diagnosis, prognosis and treatment planning for patients with somatosensory deficits. Despite the development and use of various paradigms and robotic tools, their clinimetric properties are often poorly evaluated and reported. A proper evaluation of the latter is essential to compare results between different studies and to identify the influence of possible confounds on outcome measures. The aim of the present study was to perform a comprehensive evaluation of a rapid robotic assessment of wrist proprioception using a passive gauge position matching task. Thirty-two healthy subjects undertook six test-retests of proprioception of the right wrist on two different days. The constant error (CE) was 0.87°, the absolute error (AE) was 5.87°, the variable error (VE) was 4.59° and the total variability (E) was 6.83° in average for the angles presented in the range from 10° to 30°. The intraclass correlation analysis provided an excellent reliability for CE (0.75), good reliability for AE (0.68) and E (0.68), and fair reliability for VE (0.54). Tripling the assessment length had negligible effects on the reliabilities. Additional analysis revealed significant trends of larger overestimation (constant errors), as well as larger absolute and variable errors with increased flexion angles. No proprioceptive learning occurred, despite increased familiarity with the task, which was reflected in significantly decreased assessment duration by 30%. In conclusion, the proposed automated assessment can provide sensitive and reliable information on proprioceptive function of the wrist with an administration time of around 2.5 min, demonstrating the potential for its application in research or clinical settings. Moreover, this study highlights the importance of reporting the complete set of errors (CE, AE, VE, and E) in a matching experiment for the identification of trends and subsequent interpretation of results.
机译:位置感的定量评估对于本体感受的调查以及体感缺陷患者的诊断,预后和治疗计划至关重要。尽管开发和使用了各种范例和机器人工具,但其倾斜度特性经常没有得到很好的评估和报告。对后者进行适当的评估对于比较不同研究之间的结果以及确定可能的混淆因素对结果测量的影响至关重要。本研究的目的是使用被动式量规位置匹配任务对腕部本体感受的快速机器人评估进行全面评估。三十二名健康受试者在两天之内进行了六次右腕本体感觉的测验。对于从10到10范围内的角度,恒定误差(CE)为0.87°,绝对误差(AE)为5.87°,可变误差(VE)为4.59°,总可变性(E)平均为6.83° °至30°。类内相关性分析提供了出色的CE可靠性(0.75),良好的AE(0.68)和E(0.68)可靠性以及对VE(0.54)的合理可靠性。评估长度增加三倍对可靠性的影响可以忽略不计。附加分析显示出明显的趋势,即高估过高(恒定误差),以及随着屈曲角度增加而出现的绝对误差和可变误差也较大。尽管对任务的熟悉程度有所提高,但并未发生本体感受性学习,这反映为评估持续时间显着减少了30%。总之,建议的自动评估可以在大约2.5分钟的给药时间内提供有关腕部本体感受功能的敏感而可靠的信息,这表明其在研究或临床环境中的应用潜力。此外,本研究强调了在匹配实验中报告完整错误集(CE,AE,VE和E)的重要性,以识别趋势并随后解释结果。

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