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The Simplification of the Muscle Force Prediction Using Sensitivity Analyses

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F06%3A02124826" target="_blank" >RIV/68407700:21220/06:02124826 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Simplification of the Muscle Force Prediction Using Sensitivity Analyses

  • Original language description

    Based on observations of the important muscular parameters by the help of the artificial neural network (BPG), prediction of the muscle forces can be simplified. For simplification of prediction of the muscle forces, sensitivity analysis was studied on the neural network (BPG). The proposed object of neural network simulated cooperationof 7 musculotendon actuators in elbow joint, four flexors: m.biceps brachii c.longum and c.breve; m.brachialis; m.brachioradialis; and three extensors: m.triceps brachiic.laterale, c.mediale and c.longum.

  • Czech name

    Zjednodušení predikce svalové síly užitím citlivostní analýzy

  • Czech description

    Na základě vyšetřování svalových parametrů pomocí umělé neuronové sítě (BPG) může být predikce svalové síly zjednodušena. Pro zjednodušení predikce svalové síly byla použita analýza citlivosti. Na objektu BPG bylo simulováno 7 svalů v loketním kloubu, 4flexory (m.biceps brachii c.longum a c.breve; m.brachialis; m.brachioradialis) a 3 extensory (m.triceps brachii c.laterale, c.mediale a c.longum).

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EI - Biotechnology and bionics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Technology and Health Care

  • ISSN

    0928-7329

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    4,5

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    4

  • Pages from-to

    215-218

  • UT code for WoS article

  • EID of the result in the Scopus database