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dc.contributor.authorManzano, Marta
dc.contributor.authorSerrancolí, Gil
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.date.accessioned2021-09-09T12:35:43Z
dc.date.issued2021-07-08
dc.identifier.citationManzano, M.; Serrancoli, G. A factorization-based algorithm to predict EMG data using only kinematics information. "The International Journal for Numerical Methods in Biomedical Engineering", 8 Juliol 2021, vol. 37, núm. 7, p. e3463:1-e3463:12.
dc.identifier.issn2040-7939
dc.identifier.urihttp://hdl.handle.net/2117/350980
dc.description.abstractEMG analyses have several applications, such as identifying muscle excitation patterns during rehabilitation or training plans, or controlling EMG-driven devices. However, experimental measurements can be time consuming or difficult to obtain. This study presents a simple algorithm to predict EMG signals that can be applied in real time during running, given only the instantaneous vector of kinematics. We hypothesize that the factorization of the kinematics of the skeleton together with the EMG data of calibration subjects could be used to predict EMG data of another subject only using the kinematic information. The results showed that EMG signals of lower-limb muscles can be predicted accurately in less than a second using this method. Correlation coefficients between predicted and experimental EMG signals were higher than 0.7 in ten out of eleven muscles for most prediction trials and subjects, and their overall median value was higher than 0.8. These values confirm that this method could be used to accurately predict EMG signals in real time when only kinematics are measured.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Biomecànica
dc.subject.lcshKinematics
dc.subject.lcshNumerical analysis
dc.subject.otherEMG prediction
dc.subject.otherKinematic and muscle synergies
dc.subject.otherMuscle excitation
dc.subject.otherSignal factorization
dc.titleA factorization-based algorithm to predict EMG data using only kinematics information
dc.typeArticle
dc.subject.lemacCinemàtica
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. LAM - Laboratori d'Aplicacions Multimèdia i TIC
dc.identifier.doi10.1002/cnm.3463
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.3463
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac30955763
dc.description.versionPostprint (author's final draft)
dc.date.lift2022-07-08
local.citation.authorManzano, M.; Serrancoli, G.
local.citation.publicationNameThe International Journal for Numerical Methods in Biomedical Engineering
local.citation.volume37
local.citation.number7
local.citation.startingPagee3463:1
local.citation.endingPagee3463:12


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain