Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017481821> ?p ?o ?g. }
- W2017481821 endingPage "1404" @default.
- W2017481821 startingPage "1393" @default.
- W2017481821 abstract "To solve the problem of muscle redundancy at the level of opposing muscle groups, an alternative method to inverse dynamics must be employed. Considering the advantages of existing alternatives, the present study was aimed to compute knee joint moments under dynamic conditions using electromyographic (EMG) signals combined with non-linear constrained optimization in a single routine. The associated mathematical problems accounted for muscle behavior in an attempt to obtain accurate predictions of the resultant moment as well as physiologically realistic estimates of agonist and antagonist moments. The experiment protocol comprised (1) isometric trials to determine the most effective EMG processing for the prediction of the resultant moment and (2) stepping-in-place trials for the calculation of joint moments from processed EMG under dynamic conditions. Quantitative comparisons of the model predictions with the output of a biological-based model, showed that the proposed method (1) produced the most accurate estimates of the resultant moment and (2) avoided possible inconsistencies by enforcing appropriate constraints. As a possible solution for solving the redundancy problem under dynamic conditions, the proposed optimization formulation also led to realistic predictions of agonist and antagonist moments." @default.
- W2017481821 created "2016-06-24" @default.
- W2017481821 creator A5045204734 @default.
- W2017481821 creator A5048587800 @default.
- W2017481821 date "2004-09-01" @default.
- W2017481821 modified "2023-10-06" @default.
- W2017481821 title "A method to combine numerical optimization and EMG data for the estimation of joint moments under dynamic conditions" @default.
- W2017481821 cites W1882348221 @default.
- W2017481821 cites W1966916942 @default.
- W2017481821 cites W1984914130 @default.
- W2017481821 cites W1988523523 @default.
- W2017481821 cites W1989795160 @default.
- W2017481821 cites W1992451726 @default.
- W2017481821 cites W2003748371 @default.
- W2017481821 cites W2003806138 @default.
- W2017481821 cites W2010108503 @default.
- W2017481821 cites W2018312124 @default.
- W2017481821 cites W2023231106 @default.
- W2017481821 cites W2024944983 @default.
- W2017481821 cites W2026202924 @default.
- W2017481821 cites W2029420446 @default.
- W2017481821 cites W2030526502 @default.
- W2017481821 cites W2045527594 @default.
- W2017481821 cites W2051269468 @default.
- W2017481821 cites W2054183101 @default.
- W2017481821 cites W2054900188 @default.
- W2017481821 cites W2056505888 @default.
- W2017481821 cites W2069558371 @default.
- W2017481821 cites W2084273991 @default.
- W2017481821 cites W2084519031 @default.
- W2017481821 cites W2088230107 @default.
- W2017481821 cites W2088889651 @default.
- W2017481821 cites W2093578944 @default.
- W2017481821 cites W2094458058 @default.
- W2017481821 cites W2095255282 @default.
- W2017481821 cites W2106193633 @default.
- W2017481821 cites W2109300000 @default.
- W2017481821 cites W2123286905 @default.
- W2017481821 cites W2127733921 @default.
- W2017481821 cites W2149416133 @default.
- W2017481821 cites W2156570276 @default.
- W2017481821 cites W2161672360 @default.
- W2017481821 cites W2165878130 @default.
- W2017481821 cites W2294244486 @default.
- W2017481821 doi "https://doi.org/10.1016/j.jbiomech.2003.12.020" @default.
- W2017481821 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15275847" @default.
- W2017481821 hasPublicationYear "2004" @default.
- W2017481821 type Work @default.
- W2017481821 sameAs 2017481821 @default.
- W2017481821 citedByCount "68" @default.
- W2017481821 countsByYear W20174818212012 @default.
- W2017481821 countsByYear W20174818212013 @default.
- W2017481821 countsByYear W20174818212014 @default.
- W2017481821 countsByYear W20174818212015 @default.
- W2017481821 countsByYear W20174818212016 @default.
- W2017481821 countsByYear W20174818212017 @default.
- W2017481821 countsByYear W20174818212018 @default.
- W2017481821 countsByYear W20174818212019 @default.
- W2017481821 countsByYear W20174818212020 @default.
- W2017481821 countsByYear W20174818212021 @default.
- W2017481821 countsByYear W20174818212022 @default.
- W2017481821 countsByYear W20174818212023 @default.
- W2017481821 crossrefType "journal-article" @default.
- W2017481821 hasAuthorship W2017481821A5045204734 @default.
- W2017481821 hasAuthorship W2017481821A5048587800 @default.
- W2017481821 hasConcept C103486182 @default.
- W2017481821 hasConcept C111919701 @default.
- W2017481821 hasConcept C121332964 @default.
- W2017481821 hasConcept C126255220 @default.
- W2017481821 hasConcept C127413603 @default.
- W2017481821 hasConcept C152124472 @default.
- W2017481821 hasConcept C179254644 @default.
- W2017481821 hasConcept C18555067 @default.
- W2017481821 hasConcept C1862650 @default.
- W2017481821 hasConcept C28826006 @default.
- W2017481821 hasConcept C33923547 @default.
- W2017481821 hasConcept C41008148 @default.
- W2017481821 hasConcept C66938386 @default.
- W2017481821 hasConcept C71924100 @default.
- W2017481821 hasConcept C74650414 @default.
- W2017481821 hasConceptScore W2017481821C103486182 @default.
- W2017481821 hasConceptScore W2017481821C111919701 @default.
- W2017481821 hasConceptScore W2017481821C121332964 @default.
- W2017481821 hasConceptScore W2017481821C126255220 @default.
- W2017481821 hasConceptScore W2017481821C127413603 @default.
- W2017481821 hasConceptScore W2017481821C152124472 @default.
- W2017481821 hasConceptScore W2017481821C179254644 @default.
- W2017481821 hasConceptScore W2017481821C18555067 @default.
- W2017481821 hasConceptScore W2017481821C1862650 @default.
- W2017481821 hasConceptScore W2017481821C28826006 @default.
- W2017481821 hasConceptScore W2017481821C33923547 @default.
- W2017481821 hasConceptScore W2017481821C41008148 @default.
- W2017481821 hasConceptScore W2017481821C66938386 @default.
- W2017481821 hasConceptScore W2017481821C71924100 @default.
- W2017481821 hasConceptScore W2017481821C74650414 @default.
- W2017481821 hasIssue "9" @default.
- W2017481821 hasLocation W20174818211 @default.
- W2017481821 hasLocation W20174818212 @default.