Determining the upper limb's intensity of movement using a smart orthosis for rehabilitation at the clinic and home
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F20%3A10410927" target="_blank" >RIV/00216208:11130/20:10410927 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60162694:G42__/19:00555730 RIV/68407700:21460/20:00339541 RIV/00064203:_____/20:10410927
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-030-29993-4_49" target="_blank" >https://doi.org/10.1007/978-3-030-29993-4_49</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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Determining the upper limb's intensity of movement using a smart orthosis for rehabilitation at the clinic and home
Popis výsledku v původním jazyce
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. (C) Springer Nature Switzerland AG 2020.
Název v anglickém jazyce
Determining the upper limb's intensity of movement using a smart orthosis for rehabilitation at the clinic and home
Popis výsledku anglicky
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. (C) Springer Nature Switzerland AG 2020.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
30211 - Orthopaedics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Advances in Intelligent Systems and Computing
ISBN
978-3-030-29992-7
ISSN
2194-5357
e-ISSN
—
Počet stran výsledku
9
Strana od-do
397-405
Název nakladatele
Springer Verlag
Místo vydání
Cham
Místo konání akce
Warsaw
Datum konání akce
16. 8. 2019
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—