BradykAn: A Motion Capture System for Objectification of Hand Motor Tests in Parkinson Disease
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21460/17:00316709 RIV/00064165:_____/17:10383065
Result on the web
<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>
Alternative languages
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 (.=-0.13). Expert ratings correlated with the parameters opening velocity (p< 0.001, AUC= 0.74,.=-0.43) and closing velocity (p< 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< 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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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 E-Health and Bioengineering conference (EHB)
ISBN
978-1-5386-0358-1
ISSN
2575-5137
e-ISSN
2575-5145
Number of pages
4
Pages from-to
446-449
Publisher name
IEEE
Place of publication
New York
Event location
Sinaia
Event date
Jun 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000445457500112