论文标题
不同手写方式对帕金森氏病的鉴别诊断的贡献
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease
论文作者
论文摘要
在本文中，我们评估了不同的手写方式对帕金森氏病诊断的贡献。我们分析了片剂表面上施加的地下运动，空中运动和压力。在先前的研究中很少考虑到空中运动和基于压力的特征。我们表明，压力和空中运动还具有与手写相关的信息与帕金森氏病（PD）有关的信息。除了传统的运动运动和时空特征外，我们还基于熵和手写信号的经验模式分解提供了一组新特征。提出的结果表明，手写可用作PD的生物标志物，可在ROC曲线（AUC）下提供分类性能以进行PD分类。
In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressure exerted on the tablet surface. Especially in-air movement and pressure-based features have been rarely taken into account in previous studies. We show that pressure and in-air movement also possess information that is relevant for the diagnosis of Parkinson's Disease (PD) from handwriting. In addition to the conventional kinematic and spatio-temporal features, we present a group of the novel features based on entropy and empirical mode decomposition of the handwriting signal. The presented results indicate that handwriting can be used as biomarker for PD providing classification performance around 89% area under the ROC curve (AUC) for PD classification.
