Methods of Motion Assessment of Upper Limb for Rehabilitation Application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10383506" target="_blank" >RIV/00216208:11130/18:10383506 - isvavai.cz</a>
Alternative codes found
RIV/00064203:_____/18:10383506
Result on the web
<a href="https://doi.org/10.23919/AE.2018.8501423" target="_blank" >https://doi.org/10.23919/AE.2018.8501423</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE.2018.8501423" target="_blank" >10.23919/AE.2018.8501423</a>
Alternative languages
Result language
angličtina
Original language name
Methods of Motion Assessment of Upper Limb for Rehabilitation Application
Original language description
The aim of this paper is to describe methods proposed for motion capture subsystem of smart orthosis for quantitative evaluation of movement activity of upper limbs during a rehabilitation process carried out at a clinic or at home. To quantify the description of motion we used methods of evaluation of the relationship between measured variables and nonlinear methods. To test the functionality of the methods, we compared the movement of the dominant and nondominant limbs, assuming cyclical and acyclic movement, to obtain the expected values for a healthy population. In accordance with the goal, a group of cyclic and non-cyclic movements common to the home environment were proposed. The movements were divided according to the activities performed during sitting, standing and walking. It was: pen writing, typing on the keyboard / using the mouse, eating with a spoon and eating a croissant combing, lifting weights, reading a book, etc. Twenty healthy subjects participated in the study. Four gyro-accelerometers (Xsens Technologies B.V.) attached to the forearms and upper arms of both upper limbs were used to record the upper limb movements. The results show that the calculated values of dominant and non-dominant limb parameters differ significantly in most movements. The motion capture subsystem which uses the proposed methods can be used to evaluate the physical activity for quantification of the evaluation of the rehabilitation process, and thus, it finds use in practice.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
30211 - Orthopaedics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 23rd International Conference on Applied Electronics (AE)
ISBN
978-80-261-0722-4
ISSN
1803-7232
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
89-92
Publisher name
IEEE
Place of publication
New York
Event location
Pilsen
Event date
Aug 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450228600021