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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%2F60162694%3AG42__%2F19%3A00555730" target="_blank" >RIV/60162694:G42__/19:00555730 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68407700:21460/20:00339541 RIV/00216208:11130/20:10410927 RIV/00064203:_____/20:10410927

  • Výsledek na webu

    <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>

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.

  • 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.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    20205 - Automation and control systems

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • 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

    978-3-030-299927

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Počet stran výsledku

    9

  • Strana od-do

    397-405

  • Název nakladatele

    Springer Verlag

  • Místo vydání

    Varšava

  • Místo konání akce

    Warsaw, the Republic of Poland

  • Datum konání akce

    16. 9. 2019

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku