The use of artificial neural networks to predict the muscle behavior.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F13%3A00213798" target="_blank" >RIV/68407700:21460/13:00213798 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15510/13:33145030

Result on the web

<a href="http://link.springer.com/article/10.2478%2Fs13531-012-0067-4" target="_blank" >http://link.springer.com/article/10.2478%2Fs13531-012-0067-4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/s13531-012-0067-4" target="_blank" >10.2478/s13531-012-0067-4</a>

Result language

angličtina

Original language name

The use of artificial neural networks to predict the muscle behavior.

Original language description

The aim of this article is to introduce methods of prediction of muscle behavior of the lower extremities based on artificial neural networks, which can be used for medical purposes. Our work focuses on predicting muscletendon forces and moments during human gait with the use of angle-time diagram. A group of healthy children and children with cerebral palsy were measured using a Vicon MoCap system. The kinematic data was recorded and the OpenSim software system was used to identify the joint angles, muscle-tendon forces and joint muscle moment, which are presented graphically with time diagrams. The musculus gastrocnemius medialis that is often studied in the context of cerebral palsy have been chosen to study the method of prediction. The diagrams ofmean muscle-tendon force and mean moment are plotted and the data about the force-time and moment-time dependencies are used for training neural networks. The new way of prediction of muscle-tendon forces and moments based on neural netw

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EI - Biotechnology and bionics

OECD FORD branch

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Project

<a href="/en/project/VG20102015002" target="_blank" >VG20102015002: Flexiguard</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Name of the periodical

Central European Journal of Engineering

ISSN

1896-1541

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

3

Country of publishing house

AT - AUSTRIA

Number of pages

9

Pages from-to

410-418

UT code for WoS article

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EID of the result in the Scopus database

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