Fractal measures of video-recorded trajectories can classify motor subtypes in Parkinson’s Disease
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- 作者：Thiago C. Figueiredoa ; figueiredo.aeon@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Jamile Vivasb ; jvivas@udc.es" class="auth_mail" title="E-mail the corresponding author ; Norberto Peñ ; ac ; norbertopena76@gmail.com" class="auth_mail" title="E-mail the corresponding author ; José ; G.V. Mirandaa ; vivasm@ufba.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fractal dimension ; Hurst exponent ; Parkinson&rsquo ; s Disease ; Motor subtypes
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 November 2016
- 年：2016
- 卷：462
- 期：Complete
- 页码：12-20
- 全文大小：1944 K
文摘
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The power-spectral distribution can be used to separate patients with different motor subtypes.
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The Hurst exponent presents different values for patients with and without tremor.
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Differences are also clearly identifiable between patients and control subjects.
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The Box-Counting Dimension presents different values between patients with Parkinson’s Disease and healthy subjects.