Vuillermot Stéphanie, Pescatore Aniña, Holper Lisa, Kiper Daniel C, Eng Kynan
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.
J Neurosci Methods. 2009 Mar 15;177(2):452-60. doi: 10.1016/j.jneumeth.2008.10.018. Epub 2008 Nov 1.
Impaired hand motor function resulting from neurological, psychiatric or orthopaedic disorders affects patients of all ages. Existing hand function assessment methods, e.g. rating scales, accelerometers and electromyographical devices, are often time-consuming to administer, subjective in interpretation and/or expensive. Graphonomic tests are gaining popularity as a way of avoiding these drawbacks while relating directly to writing and drawing. Here we present a computerized Extended Drawing Test (EDT), which improves on an earlier Drawing Test for stroke patients in three ways. First, it assesses isolated proximal arm movement using a graphics pen in a puck-like pen holder, and in addition combined arm and finger dexterity in movements using a normal writing grip. Secondly, we calibrated our test against 186 healthy subjects (3-70 years), finding significant age- and handedness-related differences in both speed and accuracy of drawing. Thirdly, to simplify assessment we devised an overall performance measure using a variant of Fitts' Law combining speed and accuracy, which we found to be age-independent for healthy subjects above 3 years of age. This result enables us to provide age-independent performance norms using both hands, with and without the pen holder. These norms may assist quantification of specific arm dysfunction by comparing patient performance with the healthy norms, and also by comparing within-patient performance in the dominant and non-dominant hands with and without the pen holder. Using our freely available software, this new test will allow clinicians to rapidly assess arm and hand function across a wide range of patient categories and ages.
由神经、精神或骨科疾病导致的手部运动功能受损会影响各个年龄段的患者。现有的手部功能评估方法,如评分量表、加速度计和肌电图设备,往往实施起来耗时较长,解释主观且/或成本高昂。笔迹学测试作为一种避免这些缺点且直接与书写和绘图相关的方法正越来越受欢迎。在此,我们展示一种计算机化的扩展绘图测试(EDT),它在三个方面对早期针对中风患者的绘图测试进行了改进。首先,它使用类似冰球的笔座中的图形笔评估孤立的近端手臂运动,此外还使用正常书写握法评估手臂和手指联合运动的灵活性。其次,我们针对186名健康受试者(3至70岁)对测试进行了校准,发现在绘图速度和准确性方面存在与年龄和利手相关的显著差异。第三,为了简化评估,我们使用结合速度和准确性的菲茨定律变体设计了一种整体性能指标,我们发现对于3岁以上的健康受试者,该指标与年龄无关。这一结果使我们能够提供使用双手、有无笔座情况下与年龄无关的性能规范。通过将患者表现与健康规范进行比较,以及比较患者优势手和非优势手在有笔座和无笔座情况下的自身表现,这些规范可能有助于量化特定的手臂功能障碍。使用我们免费提供的软件,这项新测试将使临床医生能够快速评估广泛患者类别和年龄段的手臂和手部功能。