Automatic Analysis of Archimedes' Spiral for Characterization of Genetic Essential Tremor Based on Shannon's Entropy and Fractal Dimension

作者：Lopez de Ipina Karmele; Sole Casals Jordi; Faundez Zanuy Marcos; Calvo Pilar M; Sesa Enric; Roure Josep; Martinez de Lizarduy Unai; Beitia Blanca; Fernandez Elsa; Iradi Jon; Garcia Melero Joseba; Bergareche Alberto

来源：Entropy, 2018, 20(7): 531.

DOI：10.3390/e20070531

• essential tremor
• automatic analysis of drawing
• spiral of Archimedes
• entropy
• fractal dimension
• automatic selection of features

Among neural disorders related to movement, essential tremor has the highest prevalence; in fact, it is twenty times more common than Parkinson's disease. The drawing of the Archimedes' spiral is the gold standard test to distinguish between both pathologies. The aim of this paper is to select non-linear biomarkers based on the analysis of digital drawings. It belongs to a larger cross study for early diagnosis of essential tremor that also includes genetic information. The proposed automatic analysis system consists in a hybrid solution: Machine Learning paradigms and automatic selection of features based on statistical tests using medical criteria. Moreover, the selected biomarkers comprise not only commonly used linear features (static and dynamic), but also other non-linear ones: Shannon entropy and Fractal Dimension. The results are hopeful, and the developed tool can easily be adapted to users; and taking into account social and economic points of view, it could be very helpful in real complex environments.

• 出版日期2018-7