dc.creatorNogueira-Neto G.N.
dc.creatorMuller R.W.
dc.creatorSalles F.A.
dc.creatorNohama P.
dc.creatorDa Silveira Nantes Button V.L.
dc.date2008
dc.date2015-06-30T19:20:25Z
dc.date2015-11-26T14:42:21Z
dc.date2015-06-30T19:20:25Z
dc.date2015-11-26T14:42:21Z
dc.date.accessioned2018-03-28T21:49:52Z
dc.date.available2018-03-28T21:49:52Z
dc.identifier9789898111173
dc.identifierBiodevices 2008 - Proceedings Of The 1st International Conference On Biomedical Electronics And Devices. , v. 2, n. , p. 176 - 179, 2008.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-55649088913&partnerID=40&md5=bf48f820fa4150eaa1d15ec6d745c162
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/105832
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/105832
dc.identifier2-s2.0-55649088913
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1251230
dc.descriptionRecently, accelerometers have been used to acquire mechanomyography signals. These signals are due to muscle lateral oscillations during contraction. In this study, a sensor acquired such vibrations in three directions. A triaxial accelerometer-based sensor was constructed and tested with a controlled mechanical vibrator and subwoofer speaker (both from 10Hz up to 40Hz) during isokinetic muscle contraction (3 volunteers, 50 extensions at 300 degrees/s). With triaxial accelerometry it was possible to compute the MMG modulus signal. For normalised and average values, MMG amplitude presented strong correlation coefficients (R=0,89) with RMS and peak torque. Below 80% of normalised data, MMG amplitude and torque values (RMS and peak) seem to converge.
dc.description2
dc.description
dc.description176
dc.description179
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dc.languageen
dc.publisher
dc.relationBIODEVICES 2008 - Proceedings of the 1st International Conference on Biomedical Electronics and Devices
dc.rightsfechado
dc.sourceScopus
dc.titleMechanomyographic Sensor - A Triaxial Accelerometry Approach
dc.typeActas de congresos


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