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| Description
| - This article describes the experiment focused on balance disorders diagnosis determination.The main idea is based on the measured data, expert diagnosis and the use of fuzzy logic. The data used in this experiment were measured under the static conditions on the posturography platform. The patients were split into three groups: peripheral, central and normal, based on doctor's diagnosis. Membership functionsfor the fuzzy logic were created based on these samples. These functions foundations based on the standards obtained from a set of measurements performed on selected patients and expert base. From the obtained results was found, that for the group of selected patients - without balance disorders, using the proposed methodology, it was found that in 60% of them can be clearly said, that it is a normal patient, without balance disorders and in the remaining 40% of the results was inconclusive, from 85 patients in the group of patients with peripheral balance disorders using the proposed methodology, it was found that in 78% can be clearly argued that these patients are with peripheral balance disorders and in the remaining 22% of the results were inconclusive and from 82 patients in the group of patients with central balance disorders using the proposed methodology, it was found that in 83% can be clearly argued that these patients are with central balance disorders. Remaining 17% of the results were inconclusive.From the performed experiments appears, that proposed methodology has good possibility to distinguish whether patients have impaired balance or not, but ability to distinguish patients with peripheral balance disorders in patients with central disorder seems weak. However, research continues and the application of other modern methods can eliminate this weakness.
- This article describes the experiment focused on balance disorders diagnosis determination.The main idea is based on the measured data, expert diagnosis and the use of fuzzy logic. The data used in this experiment were measured under the static conditions on the posturography platform. The patients were split into three groups: peripheral, central and normal, based on doctor's diagnosis. Membership functionsfor the fuzzy logic were created based on these samples. These functions foundations based on the standards obtained from a set of measurements performed on selected patients and expert base. From the obtained results was found, that for the group of selected patients - without balance disorders, using the proposed methodology, it was found that in 60% of them can be clearly said, that it is a normal patient, without balance disorders and in the remaining 40% of the results was inconclusive, from 85 patients in the group of patients with peripheral balance disorders using the proposed methodology, it was found that in 78% can be clearly argued that these patients are with peripheral balance disorders and in the remaining 22% of the results were inconclusive and from 82 patients in the group of patients with central balance disorders using the proposed methodology, it was found that in 83% can be clearly argued that these patients are with central balance disorders. Remaining 17% of the results were inconclusive.From the performed experiments appears, that proposed methodology has good possibility to distinguish whether patients have impaired balance or not, but ability to distinguish patients with peripheral balance disorders in patients with central disorder seems weak. However, research continues and the application of other modern methods can eliminate this weakness. (en)
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| Title
| - Application of fuzzy logic in the evaluation of postural stability
- Application of fuzzy logic in the evaluation of postural stability (en)
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| skos:prefLabel
| - Application of fuzzy logic in the evaluation of postural stability
- Application of fuzzy logic in the evaluation of postural stability (en)
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| skos:notation
| - RIV/70883521:28140/13:43870401!RIV14-MSM-28140___
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| http://linked.open...avai/predkladatel
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/70883521:28140/13:43870401
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Balance disorders, fuzzy logic, membership function, peripheral vestibular deficits, posturography, vestibular dysfunction. (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
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| http://linked.open...i/riv/mistoVydani
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| http://linked.open...i/riv/nazevZdroje
| - Proceedings of the 4th International Conference on Bioscience and Bioinformatics (ICBB´13)
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...iv/tvurceVysledku
| - Dolinay, Viliam
- Pivničková, Lucie
- Vašek, Vladimír
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| http://linked.open...vavai/riv/typAkce
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| http://linked.open.../riv/zahajeniAkce
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| issn
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| number of pages
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| http://purl.org/ne...btex#hasPublisher
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| https://schema.org/isbn
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| http://localhost/t...ganizacniJednotka
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