BradykAn: A motion capture system for objectification of hand motor tests in Parkinson Disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F17%3A00316709" target="_blank" >RIV/68407700:21460/17:00316709 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/17:10383065 RIV/00064165:_____/17:10383065

Result on the web

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

Result language

angličtina

Original language name

BradykAn: A motion capture system for objectification of hand motor tests in Parkinson Disease

Original language description

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'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&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<;0.001, AUC=0.80) was slightly better when compared to an expert rating (p<;0.001,AUC=0.79) with a correlation of (ρ=-0.13). Expert ratings correlated with the parameters opening velocity (p<;0.001,AUC=0.74,ρ=-0.43) and closing velocity (p<;0.001,AUC=0.66,ρ=-0.41). A newly defined parameter which combines amplitude decrement and opening velocity had an AUC=0.84 and correlated at 0.56 (p<;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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20601 - Medical engineering

Project

<a href="/en/project/NV16-28119A" target="_blank" >NV16-28119A: Analysis of movement disorders for the study of extrapyramidal diseases mechanisms using motion capture camera systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

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

Article name in the collection

2017 E-Health and Bioengineering Conference (EHB)

ISBN

978-1-5386-0358-1

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

446-449

Publisher name

Gr. T. Popa University of Medicine and Pharmacy

Place of publication

Iasi

Event location

Sinaia

Event date

Jun 22, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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