Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection
| datacite.rights | http://purl.org/coar/access_right/c_16ec | |
| dc.contributor.editor | Lepore N. | |
| dc.contributor.editor | Brieva J. | |
| dc.contributor.editor | Garcia J.D. | |
| dc.contributor.editor | Romero E. | |
| dc.creator | Flórez-Prias L.A. | |
| dc.creator | Contreras Ortiz, Sonia Helena | |
| dc.date.accessioned | 2020-03-26T16:32:38Z | |
| dc.date.available | 2020-03-26T16:32:38Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The purpose of the present article is to characterize sEMG signals to determine muscular fatigue levels. To do this, the signal is decomposed using the discrete wavelet transform, which offers noise filtering features, simplicity and efficiency. sEMG signals on the forearm were acquired and analyzed during the execution of cyclic muscular contractions in the presence and absence of fatigue. When the muscle fatigues, the sEMG signal shows a more erratic behavior of the signal as more energy is required to maintain the effort levels. © 2017 SPIE. | eng |
| dc.description.sponsorship | Medical Image Computing and Computer Assisted Intervention (MICCAI);SIPAIM Foundation;Universidad Nacional de Colombia;Universidad Nacional de Colombia, Direccion de Relaciones Exteriores | |
| dc.format.medium | Recurso electrónico | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10572 | |
| dc.identifier.doi | 10.1117/12.2285950 | |
| dc.identifier.instname | Universidad Tecnológica de Bolívar | |
| dc.identifier.isbn | 9781510616332 | |
| dc.identifier.issn | 0277786X | |
| dc.identifier.orcid | 57199857784 | |
| dc.identifier.orcid | 57210822856 | |
| dc.identifier.reponame | Repositorio UTB | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12585/8944 | |
| dc.language.iso | eng | |
| dc.publisher | SPIE | |
| dc.relation.conferencedate | 5 October 2017 through 7 October 2017 | |
| dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
| dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038430967&doi=10.1117%2f12.2285950&partnerID=40&md5=ce5142fe15a705014ee3f0d3a8bdcbb3 | |
| dc.source | Scopus2-s2.0-85038430967 | |
| dc.source.event | 13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017 | |
| dc.subject.keywords | Muscle fatigue | |
| dc.subject.keywords | Semg | |
| dc.subject.keywords | Wavelet transform | |
| dc.subject.keywords | Bioinformatics | |
| dc.subject.keywords | Discrete wavelet transforms | |
| dc.subject.keywords | Muscle | |
| dc.subject.keywords | Signal analysis | |
| dc.subject.keywords | Signal processing | |
| dc.subject.keywords | Signal reconstruction | |
| dc.subject.keywords | Muscle fatigues | |
| dc.subject.keywords | Muscular contraction | |
| dc.subject.keywords | Muscular fatigues | |
| dc.subject.keywords | Noise filtering | |
| dc.subject.keywords | Semg | |
| dc.subject.keywords | Semg signals | |
| dc.subject.keywords | Wavelet transforms | |
| dc.title | Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection | |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | |
| dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
| dc.type.spa | Conferencia | |
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| oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |