BradykAn: A Motion Capture System for Objectification of Hand Motor Tests in Parkinson Disease

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F17%3A10383065" target="_blank" >RIV/00216208:11110/17:10383065 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21460/17:00316709 RIV/00064165:_____/17:10383065

Výsledek na webu

<a href="https://doi.org/10.1109/EHB.2017.7995457" target="_blank" >https://doi.org/10.1109/EHB.2017.7995457</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EHB.2017.7995457" target="_blank" >10.1109/EHB.2017.7995457</a>

Jazyk výsledku

angličtina

Název v původním jazyce

BradykAn: A Motion Capture System for Objectification of Hand Motor Tests in Parkinson Disease

Popis výsledku v původním jazyce

We developed a software program, BradykAn, that computes motion characteristics and processes data acquired from compact optical motion capture systems (MoCap) such as Optitrack V120: Trio which provides accurate and easily acquired information about 3-dimensial movement. BradykAn has implemented algorithms and protocols for the evaluation of Unified Parkinson&apos;s Disease Rating Scale hand motor tests. The BradykAn was validated on a finger tapping test for patients with Parkinson Disease (PD), where the parameters describing repetitive movement speed, amplitude, and frequency were computed. We examined 55 PD patients (29M, 26F), mean age 65 (46-85) years, H&amp; Y stage 2 (1-2.5) and 59 (28M, 31F) normal controls, mean age 65 (41-83) years. The analysis delivered significant results in most parameters. The best amplitude decrement parameter (p&lt; 0.001, AUC= 0.80) was slightly better when compared to an expert rating (p&lt; 0.001, AUC= 0.79) with a correlation of (.=-0.13). Expert ratings correlated with the parameters opening velocity (p&lt; 0.001, AUC= 0.74,.=-0.43) and closing velocity (p&lt; 0.001, AUC= 0.66,.=-0.41). A newly defined parameter which combines amplitude decrement and opening velocity had an AUC= 0.84 and correlated at 0.56 (p&lt; 0.001) with the expert rating. These parameters representing bradykinesia in PD were algorithmically selected. We showed that the BradykAn system allows an independent analysis of individual components from hand motor tests and can be useful for clinical examination.

Název v anglickém jazyce

BradykAn: A Motion Capture System for Objectification of Hand Motor Tests in Parkinson Disease

Popis výsledku anglicky

We developed a software program, BradykAn, that computes motion characteristics and processes data acquired from compact optical motion capture systems (MoCap) such as Optitrack V120: Trio which provides accurate and easily acquired information about 3-dimensial movement. BradykAn has implemented algorithms and protocols for the evaluation of Unified Parkinson&apos;s Disease Rating Scale hand motor tests. The BradykAn was validated on a finger tapping test for patients with Parkinson Disease (PD), where the parameters describing repetitive movement speed, amplitude, and frequency were computed. We examined 55 PD patients (29M, 26F), mean age 65 (46-85) years, H&amp; Y stage 2 (1-2.5) and 59 (28M, 31F) normal controls, mean age 65 (41-83) years. The analysis delivered significant results in most parameters. The best amplitude decrement parameter (p&lt; 0.001, AUC= 0.80) was slightly better when compared to an expert rating (p&lt; 0.001, AUC= 0.79) with a correlation of (.=-0.13). Expert ratings correlated with the parameters opening velocity (p&lt; 0.001, AUC= 0.74,.=-0.43) and closing velocity (p&lt; 0.001, AUC= 0.66,.=-0.41). A newly defined parameter which combines amplitude decrement and opening velocity had an AUC= 0.84 and correlated at 0.56 (p&lt; 0.001) with the expert rating. These parameters representing bradykinesia in PD were algorithmically selected. We showed that the BradykAn system allows an independent analysis of individual components from hand motor tests and can be useful for clinical examination.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 E-Health and Bioengineering conference (EHB)

ISBN

978-1-5386-0358-1

ISSN

2575-5137

e-ISSN

2575-5145

Počet stran výsledku

4

Strana od-do

446-449

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Sinaia

Datum konání akce

22. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000445457500112