Publication:
Rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration

dc.contributor.coauthorKaracan, İlhan
dc.contributor.coauthorÇidem, Muharrem
dc.contributor.departmentDepartment of Physics
dc.contributor.departmentN/A
dc.contributor.kuauthorSebik, Oğuz
dc.contributor.kuauthorTürker, Kemal Sıtkı
dc.contributor.kuprofileResearcher
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Physics
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.contributor.schoolcollegeinstituteSchool of Medicine
dc.contributor.yokidN/A
dc.contributor.yokid6741
dc.date.accessioned2024-11-10T00:06:42Z
dc.date.issued2013
dc.description.abstractThe use of surface electromyography (SEMG) in vibration studies is problematic since motion artifacts occupy the same frequency band with the SEMG signal containing information on synchronous motor unit activity. We hypothesize that using a harsher, 80-500 Hz band-pass filter and using rectification can help eliminate motion artifacts and provide a way to observe synchronous motor unit activity that is phase locked to vibration using SEMG recordings only. Multi Motor Unit (MMU) action potentials using intramuscular electrodes along with SEMG were recorded from the gastrocnemius medialis (GM) of six healthy male volunteers. Data were collected during whole body vibration, using vibration frequencies of 30 Hz, 35 Hz, 40 Hz or 50 Hz. A computer simulation was used to investigate the efficacy of filtering under different scenarios: with or without artifacts and/or motor unit synchronization. Our findings indicate that motor unit synchronization took place during WBV as verified by MMU recordings. A harsh filtering regimen along with rectification proved successful in demonstrating motor unit synchronization in SEMG recordings. Our findings were further supported by the results from the computer simulation, which indicated that filtering and rectification was efficient in discriminating motion artifacts from motor unit synchronization. We suggest that the proposed signal processing technique may provide a new methodology to evaluate the effects of vibration treatments using only SEMG. This is a major advantage, as this non-intrusive method is able to overcome movement artifacts and also indicate the synchronization of underlying motor units.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue2
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsorshipKoc University We thank Koc University for the post-doctoral fellowship to OS. The authors also gratefully acknowledge the volunteers who took part in these experiments.
dc.description.volume23
dc.identifier.doi10.1016/j.jelekin.2012.09.009
dc.identifier.eissn1873-5711
dc.identifier.issn1050-6411
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-84875370137
dc.identifier.urihttp://dx.doi.org/10.1016/j.jelekin.2012.09.009
dc.identifier.urihttps://hdl.handle.net/20.500.14288/16658
dc.identifier.wos316673600001
dc.keywordsPower spectrum
dc.keywordsFrequency
dc.keywordsSurface electromyography (SEMG)
dc.keywordsFiltering
dc.keywordsMovement artifacts
dc.keywordsIntramuscular electrodes
dc.languageEnglish
dc.publisherElsevier Sci Ltd
dc.sourceJournal of Electromyography and Kinesiology
dc.subjectNeurosciences
dc.subjectPhysiology
dc.subjectMedical rehabilitation
dc.subjectSport sciences
dc.titleRectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-9970-8812
local.contributor.authorid0000-0001-9962-075X
local.contributor.kuauthorSebik, Oğuz
local.contributor.kuauthorTürker, Kemal Sıtkı
relation.isOrgUnitOfPublicationc43d21f0-ae67-4f18-a338-bcaedd4b72a4
relation.isOrgUnitOfPublication.latestForDiscoveryc43d21f0-ae67-4f18-a338-bcaedd4b72a4

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