Determining the upper limb’s intensity of movement using a smart orthosis for rehabilitation at the clinic and home
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F19%3A00555730" target="_blank" >RIV/60162694:G42__/19:00555730 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/20:00339541 RIV/00216208:11130/20:10410927 RIV/00064203:_____/20:10410927
Result on the web
<a href="http://www.springer.com/series/11156" target="_blank" >http://www.springer.com/series/11156</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29993-4_49" target="_blank" >10.1007/978-3-030-29993-4_49</a>
Alternative languages
Result language
angličtina
Original language name
Determining the upper limb’s intensity of movement using a smart orthosis for rehabilitation at the clinic and home
Original language description
This article aims to describe methods determining the intensity of movement activity while using a smart orthosis for the upper limbs. The methods proposed can be applied both in clinical practice and the home environment. Kinematics data was quantified by evaluation methods of time domain data. These can determine the integral of the absolute value of total acceleration, kinetic energy of the segment in translational motion, mechanical power during a segment motion, and a geometric sum of three partial accelerations of three-dimensional motion. The method’s applicability was tested by a comparison of the forearm and upper arm movement while the subjects performed various activities. Following on from the goal of method tested, the team applied it to a set of cyclic and non-cyclic movements commonly performed in a home environment. The study was conducted on twenty healthy participants. Four gyro-accelerometers to record the upper limb movement were attached to the subject’s forearms and upper arms. The results of the calculated values for the proposed parameters revealed statistically significant differences depending on the physical activities monitored. The results also showed that the calculated values for the forearm and upper arm parameters correlate significantly. This is due to the concurrent similar movement of the segments with accelerometers during a particular physical activity. The proposed methods have proven their applicability for monitoring the intensity of motion during rehabilitation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-030-299927
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
9
Pages from-to
397-405
Publisher name
Springer Verlag
Place of publication
Varšava
Event location
Warsaw, the Republic of Poland
Event date
Sep 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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