Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension
| Autor: | Enric Sesa, Karmele López-de-Ipiña, U. Martinez-de-Lizarduy, Joseba Garcia-Melero, Pilar M. Calvo, Alberto Bergareche, Blanca Beitia, Josep Roure, Jordi Solé-Casals, Elsa Fernández, Jon Iradi, Marcos Faundez-Zanuy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
fractal dimension
spiral of Archimedes Computer science General Physics and Astronomy lcsh:Astrophysics 02 engineering and technology system Fractal dimension Article 03 medical and health sciences symbols.namesake automatic analysis of drawing 0302 clinical medicine lcsh:QB460-466 0202 electrical engineering electronic engineering information engineering medicine Hybrid solution Entropy (information theory) lcsh:Science essential tremor Statistical hypothesis testing disease Essential tremor business.industry Archimedean spiral Pattern recognition medicine.disease lcsh:QC1-999 nervous system diseases symbols lcsh:Q 020201 artificial intelligence & image processing Artificial intelligence business entropy automatic selection of features lcsh:Physics 030217 neurology & neurosurgery |
| Zdroj: | Addi. Archivo Digital para la Docencia y la Investigación instname Entropy Volume 20 Issue 7 Entropy, Vol 20, Iss 7, p 531 (2018) |
| Popis: | Among neural disorders related to movement, essential tremor has the highest prevalence in fact, it is twenty times more common than Parkinson&rsquo s disease. The drawing of the Archimedes&rsquo 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|