Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension
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 pape...
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| Format: | Article |
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MDPI AG
2018-07-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/20/7/531 |
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| author | Karmele Lopez-de-Ipina Jordi Solé-Casals Marcos Faúndez-Zanuy Pilar M. Calvo Enric Sesa Josep Roure Unai Martinez-de-Lizarduy Blanca Beitia Elsa Fernández Jon Iradi Joseba Garcia-Melero Alberto Bergareche |
| author_facet | Karmele Lopez-de-Ipina Jordi Solé-Casals Marcos Faúndez-Zanuy Pilar M. Calvo Enric Sesa Josep Roure Unai Martinez-de-Lizarduy Blanca Beitia Elsa Fernández Jon Iradi Joseba Garcia-Melero Alberto Bergareche |
| author_sort | Karmele Lopez-de-Ipina |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T00:46:50Z |
| format | Article |
| id | doaj.art-a081f8b7abf841b3bcda4f7e2c73dfae |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-13T00:46:50Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-a081f8b7abf841b3bcda4f7e2c73dfae2022-12-22T03:09:59ZengMDPI AGEntropy1099-43002018-07-0120753110.3390/e20070531e20070531Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal DimensionKarmele Lopez-de-Ipina0Jordi Solé-Casals1Marcos Faúndez-Zanuy2Pilar M. Calvo3Enric Sesa4Josep Roure5Unai Martinez-de-Lizarduy6Blanca Beitia7Elsa Fernández8Jon Iradi9Joseba Garcia-Melero10Alberto Bergareche11Systems Engineering and Automation Department, EleKin Research Group, University of the Basque Country UPV/EHU, 20018 Donostia, SpainData and Signal Processing Research Group, University of Vic—Central University of Catalonia, 08500 Barcelona, SpainEscola Superior Politècnica Tecnocampus, Universitat Pompeu Fabra, 08002 Barcelona, SpainSystems Engineering and Automation Department, EleKin Research Group, University of the Basque Country UPV/EHU, 20018 Donostia, SpainEscola Superior Politècnica Tecnocampus, Universitat Pompeu Fabra, 08002 Barcelona, SpainEscola Superior Politècnica Tecnocampus, Universitat Pompeu Fabra, 08002 Barcelona, SpainDepartment of Electronic Technology, EleKin Research Group, University of the Basque Country UPV/EHU, 20018 Donostia, SpainDepartment of Mathematics, EleKin Research Group, University of the Basque Country UPV/EHU, 1006 Gasteiz, SpainSystems Engineering and Automation Department, EleKin Research Group, University of the Basque Country UPV/EHU, 20018 Donostia, SpainDepartment of Enterprises Organization, EleKin Research Group, University of the Basque Country UPV/EHU, 20018 Donostia, SpainDepartment of Mechanical Engineering, EleKin Research Group, University of the Basque Country UPV/EHU, 1006 Gasteiz, SpainDepartment of Neuroscience, BioDonostia Health Institute, 20014 Donostia, SpainAmong 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.http://www.mdpi.com/1099-4300/20/7/531essential tremorautomatic analysis of drawingspiral of Archimedesentropyfractal dimensionautomatic selection of features |
| spellingShingle | Karmele Lopez-de-Ipina Jordi Solé-Casals Marcos Faúndez-Zanuy Pilar M. Calvo Enric Sesa Josep Roure Unai Martinez-de-Lizarduy Blanca Beitia Elsa Fernández Jon Iradi Joseba Garcia-Melero Alberto Bergareche Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension Entropy essential tremor automatic analysis of drawing spiral of Archimedes entropy fractal dimension automatic selection of features |
| title | Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension |
| title_full | Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension |
| title_fullStr | Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension |
| title_full_unstemmed | Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension |
| title_short | Automatic Analysis of Archimedes’ Spiral for Characterization of Genetic Essential Tremor Based on Shannon’s Entropy and Fractal Dimension |
| title_sort | automatic analysis of archimedes spiral for characterization of genetic essential tremor based on shannon s entropy and fractal dimension |
| topic | essential tremor automatic analysis of drawing spiral of Archimedes entropy fractal dimension automatic selection of features |
| url | http://www.mdpi.com/1099-4300/20/7/531 |
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