Determining the upper limb's intensity of movement using a smart orthosis for rehabilitation at the clinic and home

Result code in 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>

Alternative codes found

RIV/60162694:G42__/19:00555730 RIV/68407700:21460/20:00339541 RIV/00064203:_____/20:10410927

Result on the web

<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>

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&apos;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&apos;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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

30211 - Orthopaedics

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Intelligent Systems and Computing

ISBN

978-3-030-29992-7

ISSN

2194-5357

e-ISSN

—

Number of pages

9

Pages from-to

397-405

Publisher name

Springer Verlag

Place of publication

Cham

Event location

Warsaw

Event date

Aug 16, 2019

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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