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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F05%3A00110308%21RIV12-MSM-21220___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
This study, investigated the practicality, and sensitivity of several different methods of calculating muscle forces during functional activities in humans. Two dynamic systems were chosen, the upper extremity, where the movement flexion/extension elbow joint was characterized and the lower extremity, where the complex squat motion was studied. The redundant mechanisms were solved using optimization criteria with models of individual muscles according to their active and passive properties. Additionally, determination of muscle forces was examined using an artificial neural network and muscle parameters without apparent dependence between inputs muscle parameters and outputs muscle forces. Moreover, if muscle models with active and passive properties are included in these analyses, it is relatively easy to calculate muscle forces of both agonists and antagonists. This study, investigated the practicality, and sensitivity of several different methods of calculating muscle forces during functional activities in humans. Two dynamic systems were chosen, the upper extremity, where the movement flexion/extension elbow joint was characterized and the lower extremity, where the complex squat motion was studied. The redundant mechanisms were solved using optimization criteria with models of individual muscles according to their active and passive properties. Additionally, determination of muscle forces was examined using an artificial neural network and muscle parameters without apparent dependence between inputs muscle parameters and outputs muscle forces. Moreover, if muscle models with active and passive properties are included in these analyses, it is relatively easy to calculate muscle forces of both agonists and antagonists.
dcterms:title
The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems
skos:prefLabel
The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems
skos:notation
RIV/68407700:21220/05:00110308!RIV12-MSM-21220___
n3:aktivita
n15:Z
n3:aktivity
Z(MSM6840770012)
n3:dodaniDat
n5:2012
n3:domaciTvurceVysledku
n14:5336708
n3:druhVysledku
n12:O
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
514886
n3:idVysledku
RIV/68407700:21220/05:00110308
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Hill's type muscle model; lower extremity; multibody systems; muscle activation; muscle mechanics; musculotendon parameters; neural network; upper extremity
n3:klicoveSlovo
n6:muscle%20mechanics n6:Hill%27s%20type%20muscle%20model n6:multibody%20systems n6:lower%20extremity n6:musculotendon%20parameters n6:muscle%20activation n6:neural%20network n6:upper%20extremity
n3:kontrolniKodProRIV
[E38C2DADDE31]
n3:obor
n9:EI
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n5:2005
n3:tvurceVysledku
Vilímek, Miloslav
n3:zamer
n17:MSM6840770012
n16:organizacniJednotka
21220