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Prediction potential of different handwriting tasks for diagnosis of Parkinson's

机译：诊断帕金森氏病的不同手写任务的预测潜力

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One of the most frequent clinical hallmarks of Parkinson's disease (PD) is micrographia. Micrographia in PD is characterized by the decreased letter size and by changes in the kinematic aspects including increased movement time, decreased velocities and accelerations, and increased number of changes in velocity and acceleration. Based on the literature survey we proposed template to acquire handwriting during different tasks. In addition to well established tasks for PD diagnosis such as Archimedean spiral, we designed new tasks to acquire all aspects of micrographia. The database consists of eight different handwriting samples from seventy-five subjects. The presented results shows almost 80% overall classification accuracy
机译：显微照相术是帕金森氏病（PD）最常见的临床标志之一。 PD的显微照片的特征是字母尺寸减小和运动学方面的变化，包括运动时间增加，速度和加速度下降以及速度和加速度变化次数增加。基于文献调查，我们提出了在不同任务中获取笔迹的模板。除了用于PD诊断的既定任务（例如Archimedean螺旋）之外，我们还设计了新任务来获取显微照相的所有方面。该数据库由来自75个主题的八个不同的手写样本组成。呈现的结果显示了几乎80％的整体分类精度

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