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dc.contributor.authorRomero Sánchez, Francisco
dc.contributor.authorAlonso Sánchez, Francisco Javier
dc.contributor.authorGragera, C.
dc.contributor.authorLugrís Armesto, Urbano
dc.contributor.authorFont Llagunes, Josep Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.date.accessioned2017-01-12T12:53:35Z
dc.date.available2017-12-01T01:30:31Z
dc.date.issued2016-12-01
dc.identifier.citationRomero, F., Alonso, F.J., Gragera, C., Lugrís, U., Font-Llagunes, J.M. Estimation of muscular forces from SSA smoothed sEMG signals calibrated by inverse dynamics-based physiological static optimization. "Journal of the Brazilian Society of Mechanical Sciences and Engineering", 1 Desembre 2016, vol. 38, núm. 8, p. 2213-2223.
dc.identifier.issn1678-5878
dc.identifier.urihttp://hdl.handle.net/2117/99092
dc.description.abstractThe estimation of muscular forces is useful in several areas such as biomedical or rehabilitation engineering. As muscular forces cannot be measured in vivo non-invasively they must be estimated by using indirect measurements such as surface electromyography (sEMG) signals or by means of inverse dynamic (ID) analyses. This paper proposes an approach to estimate muscular forces based on both of them. The main idea is to tune a gain matrix so as to compute muscular forces from sEMG signals. To do so, a curve fitting process based on least-squares is carried out. The input is the sEMG signal filtered using singular spectrum analysis technique. The output corresponds to the muscular force estimated by the ID analysis of the recorded task, a dumbbell weightlifting. Once the model parameters are tuned, it is possible to obtain an estimation of muscular forces based on sEMG signal. This procedure might be used to predict muscular forces in vivo outside the space limitations of the gait analysis laboratory.
dc.format.extent11 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Biomecànica
dc.subject.lcshElectromyography
dc.subject.lcshBiomechanics
dc.titleEstimation of muscular forces from SSA smoothed sEMG signals calibrated by inverse dynamics-based physiological static optimization
dc.typeArticle
dc.subject.lemacElectromiografia
dc.subject.lemacBiomecànica
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOMEC - Biomechanical Engineering Lab
dc.identifier.doi10.1007/s40430-016-0575-x
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs40430-016-0575-x
dc.rights.accessOpen Access
local.identifier.drac19286359
dc.description.versionPostprint (published version)
local.citation.authorRomero, F.; Alonso, F.J.; Gragera, C.; Lugrís, U.; Font-Llagunes, J.M.
local.citation.publicationNameJournal of the Brazilian Society of Mechanical Sciences and Engineering
local.citation.volume38
local.citation.number8
local.citation.startingPage2213
local.citation.endingPage2223


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