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A novel approach combining temporal and spectral features of Arabic online handwriting for Parkinson's disease prediction

机译:一种新的方法,结合阿拉伯网上手写的时间和光谱特征对帕金森病预测的影响

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摘要

Background: Parkinson's disease (PD) affects millions of people worldwide, and it is predicted that this pathology will gravely increase in the next few years. Unfortunately, there's currently no cure for this disease, indeed an early diagnosis of Parkinson's disease can help to better manage its symptoms and its evolution. One of the most frequent abilities and usually also the first manifestation of Parkinson's disease is alteration of handwriting.
机译:背景:帕金森病(PD)影响全球数百万人,并且预测该病理学将在未来几年内严重增加。 不幸的是,目前没有治愈这种疾病,实际上,帕金森病的早期诊断有助于更好地管理其症状及其进化。 最常见的能力之一,通常也是帕金森病的第一个表现是手写的变化。

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