Robot-assisted assessment of vibration perception and localization on the hand
Robot-assisted assessment of vibration perception and localization on the hand
复制标题
机器人辅助评估手部振动感知和定位
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Gassert
中科院分区：
文献类型：
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作者：
O. Lambercy;Yeongmi Kim;R. Gassert
感官知觉对于运动学习和精细操作的控制至关重要。然而，中风后的治疗仍然强烈地侧重于运动技能的训练。感官评估经常被遗漏，或者只提供控制不佳的刺激的非常主观的数据。本文介绍了机器人感觉训练器的振动检测/定位测试，这是一种完全专注于评估和训练手的感觉功能的设备，目的是深入了解中风后感觉障碍的发生率和严重性，并提供关于患者绝对和差异感知阈值的半客观数据。一项初步的可行性研究调查了13名健康志愿者在区分优势和非优势手四个位置的振动刺激时的定位表现和反应时。正确率高(平均±SD为99.6%±0.6%)，触摸屏PC机器人感觉训练器在优势手刺激位置之间有显著差异。优势手与非优势手的平均正确检测率差异无统计学意义。这些数据将作为未来对老年人和中风受试者进行测量的基线，并表明来自非受损手的数据可以用于识别和评估中风患者受影响手的感觉障碍。康复的意义感觉缺陷可能会限制中风后的功能恢复，这方面的文献很少，在目前的治疗方案中往往被忽视。临床感官评定不规范，缺乏敏感性，变异性大。我们提出了一种新的半客观评估手感觉功能的装置，能够提供振动、本体感觉和压力刺激。在13名健康受试者上测试了手的振动知觉和定位，作为中风患者未来测量的基线数据。
Sensory perception is crucial for motor learning and the control of fine manipulations. However, therapy after stroke still strongly focuses on the training of motor skills. Sensory assessments are often left out or provide only very subjective data from poorly controlled stimuli. This paper presents a vibration detection/localization test with the Robotic Sensory Trainer, a device that focuses entirely on the assessment and training of sensory function of the hand, with the aim of gaining insights into the prevalence and severity of sensory deficits after stroke, and to provide semiobjective data on absolute and difference perception thresholds in patients. An initial feasibility study investigated localization performance and reaction time during the discrimination of vibration stimuli presented in four locations on the dominant and nondominant hands of 13 healthy volunteers. High correct detection rates were observed (mean ± SD of 99.6% ± 0.6%), touch screen PC Robotic Sensory Trainer which were found to be significantly different between stimulus locations on the dominant hand. Average correct detection rates were not statistically different between dominant and nondominant hand. These data will serve as baseline for future measurements on elderly and stroke subjects, and suggest that data from the nonimpaired hand could be used to identify and assess sensory deficits in the affected hand of stroke patients. Implications for Rehabilitation Sensory deficits may limit functional recovery after stroke, are poorly documented and often neglected in current therapeutic programs. Clinical sensory assessments are not well standardized, lack sensitivity and suffer from high variability. We present a novel device for the semiobjective assessment of hand sensory function, capable of providing vibration, proprioception and pressure stimuli. Vibration perception and localization on the hand were tested on 13 healthy subjects to serve as baseline data for future measurements with stroke patients.