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dc.creatorKrueger, Eddy
dc.creatorPopović-Maneski, Lana
dc.creatorNeto, Guilherme Nunes Nogueira
dc.creatorMendonça Scheeren, Eduardo
dc.creatorFiusa, Jessika Mehret
dc.creatorNohama, Percy
dc.date.accessioned2020-12-05T02:00:31Z
dc.date.available2020-12-05T02:00:31Z
dc.date.issued2020
dc.identifier.issn2446-4740
dc.identifier.urihttps://doi.org/10.1007/s42600-020-00061-z
dc.identifier.urihttps://dais.sanu.ac.rs/123456789/9817
dc.description.abstractFunctional electrical stimulation (FES) is a method of activating paralyzed muscles. During FES application, fast muscle fatigue can occur (the inability of stimulated muscles to generate force). Therefore, it is beneficial to estimate the muscle fatigue for FES closed-loop control for walking to prevent unexpected muscle collapse and adapt the FES strategy in real time. Mechanomyography (MMG) is a noninvasive technique for registering myofiber vibrations, representing an ideal candidate for the provision of feedback. The hypothesis was that MMG signals could effectively detect muscle fatigue and, thus, provide feedback.en
dc.languageen
dc.publisherSpringer
dc.relationCoordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001
dc.relationConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 484325/2011-6)
dc.relationConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 309514/2014-2)
dc.relationConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 151210/2018-7)
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44008/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceResearch on Biomedical Engineering
dc.titleNeuromuscular fatigue detection by mechanomyography in people with complete spinal cord injuryen
dc.typearticleen
dc.rights.licenseBY
dcterms.abstractНето, Гуилхерме Нунес Ногуеира; Поповић-Манески, Лана; Мендонçа Сцхеерен, Едуардо; Фиуса, Јессика Мехрет; Нохама, Перцy; Круегер, Еддy;
dc.citation.spage203
dc.citation.epage212
dc.citation.volume36
dc.citation.issue3
dc.identifier.doi10.1007/s42600-020-00061-z
dc.identifier.scopus2-s2.0-85086112168
dc.type.versionpublishedVersion
dc.identifier.fulltexthttps://dais.sanu.ac.rs/bitstream/id/40697/Krueger2020_Research-on-Biomedical-Engineering_2020.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_dais_9817


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Приказ основних података о документу