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

K. Lopez-de-Ipina, A. Bergareche, P. de la Riva, M. Faúndez-Zanuy, P. Calvo, F. Zelarain
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引用次数: 3

Abstract

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.
非侵入性书写信号的分析,应用于特发性震颤:一种非线性方法
在这篇论文中,这是一个广泛的诊断原发性震颤交叉研究的一部分,我们提出了从绘画和笔迹中选择的非线性生物标志物。这包括分形维数和熵。其他疾病如应激的综合特征也将被分析。然后,这些新的生物标志物将在未来的工作中与在Biodonostia研究中获得的生物标志物相结合。应当强调指出,这项技术的使用无疑可以为发展更可持续、低成本、高质量、非侵入性的技术提供好处。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,在真实的复杂环境中非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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