Towards an Inclusive Parkinson's Screening System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F14%3A43897327" target="_blank" >RIV/60461373:22340/14:43897327 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11150/14:10321893

Výsledek na webu

<a href="https://www.eed.usv.ro/idei_48/articles/SaC5-02.pdf" target="_blank" >https://www.eed.usv.ro/idei_48/articles/SaC5-02.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICSTCC.2014.6982461" target="_blank" >10.1109/ICSTCC.2014.6982461</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards an Inclusive Parkinson's Screening System

Popis výsledku v původním jazyce

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.

Název v anglickém jazyce

Towards an Inclusive Parkinson's Screening System

Popis výsledku anglicky

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 18th International Conference on System Theory, Control and Computing

ISBN

978-1-4799-4602-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

476-481

Název nakladatele

IEEE Institute of Electrical and Electronics Engineers

Místo vydání

Piscataway, New Jersey

Místo konání akce

Sinaia

Datum konání akce

17. 10. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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