The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F05%3A00113157" target="_blank" >RIV/68407700:21220/05:00113157 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Challenges of Musculotendon Forces Estimation in Multiple Muscle Systems
Original language 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 elbowjoint 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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
EI - Biotechnology and bionics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Mechanist´s Jotter 2005
ISBN
80-01-03199-3
Number of pages of the result
55
Pages from-to
83-137
Number of pages of the book
168
Publisher name
ČVUT FS, Ústav mechaniky
Place of publication
Praha
UT code for WoS chapter
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