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Distinguishing Parkinson's disease from other syndromes causing tremor using automatic analysis of writing and drawing tasks

机译:将帕金森病与其他综合征的疾病,使用写作和绘图任务的自动分析导致震颤

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An easily performed and objective test of patients fine motor skills would be valuable in the diagnosis of Parkinson's disease (PD). In this study we present a set of automatic methods for quantifying the motor symptoms of PD and show that these automatically extracted features can be used to distinguish PD from other movement disorders causing tremor, namely essential tremor (ET), functional tremor (FT) and enhanced physiological tremor (EPT). The classification accuracies (mean of sensitivity and specificity) for separating PD from the other tremor syndromes were 82.0 % for ET, 69.8% for FT and 72.2 % for EPT.
机译:在帕金森病(PD)的诊断中,对患者的易于执行和客观的患者的客观测试是有价值的。在这项研究中,我们展示了一组用于量化PD的电机症状的自动方法,并显示这些自动提取的功能可用于区分PD从其他运动障碍导致震颤,即必要的震颤(ET),功能性震颤(FT)和增强的生理震颤(EPT)。从另一个震颤综合征分离PD的分类精度(敏感性和特异性)对于ET,FT的速度为82.0%,EPT为72.2%。

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