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Analysis of non-invasive writing signals, applied to Essential Tremor: A nonlinear approach

机译:非侵入性书写信号分析,应用于原发性震颤:一种非线性方法

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In this paper, which is part of a wide-ranging cross study for the diagnosis of Essential Tremor, we present a selection of nonlinear biomarkers from drawings and handwriting. These include Fractal Dimension and Entropy. The presence of integrated features of other diseases such as stress will be also analyzed. Then these new biomarkers will be integrated in future works with those obtained in the Biodonostia study. It should be highlighted that the use of this technology could provide undoubted benefits towards the development of more sustainable, low cost, high quality, non-invasive technologies. These systems are easily adaptable to the user and environment, and from a social and economic point of view can be very useful in real complex environments.
机译:本文是诊断原发性震颤的广泛研究的一部分,我们从图纸和笔迹中选择了非线性生物标志物。这些包括分形维数和熵。还将分析其他疾病(例如压力)的综合特征的存在。然后,这些新的生物标记将与Biodonostia研究中获得的那些整合到以后的工作中。应该强调的是,使用这种技术可以为开发更具可持续性,低成本,高质量,非侵入性的技术带来无疑的好处。这些系统很容易适应用户和环境,从社会和经济的角度来看,它们在实际的复杂环境中非常有用。

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