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Is the use of a low-cost sEMG sensor valid to measure muscle fatigue?

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dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MECATRAN: Mecánica Experimental, Cálculo y Transporteses
dc.contributor.authorFuentes del Toro, Sergio
dc.contributor.authorSantos Cuadros, Silvia
dc.contributor.authorOlmeda Santamaría, Ester
dc.contributor.authorÁlvarez Caldas, Carolina
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorSan Román García, José Luis
dc.date.accessioned2020-11-16T16:17:12Z
dc.date.available2020-11-16T16:17:12Z
dc.date.issued2019-07-02
dc.description.abstractInjuries caused by the overstraining of muscles could be prevented by means of a system which detects muscle fatigue. Most of the equipment used to detect this is usually expensive. The question then arises whether it is possible to use a low-cost surface electromyography (sEMG) system that is able to reliably detect muscle fatigue. With this main goal, the contribution of this work is the design of a low-cost sEMG system that allows assessing when fatigue appears in a muscle. To that aim, low-cost sEMG sensors, an Arduino board and a PC were used and afterwards their validity was checked by means of an experiment with 28 volunteers. This experiment collected information from volunteers, such as their level of physical activity, and invited them to perform an isometric contraction while an sEMG signal of their quadriceps was recorded by the low-cost equipment. After a wavelet filtering of the signal, root mean square (RMS), mean absolute value (MAV) and mean frequency (MNF) were chosen as representative features to evaluate fatigue. Results show how the behaviour of these parameters across time is shown in the literature coincides with past studies (RMS and MAV increase while MNF decreases when fatigue appears). Thus, this work proves the feasibility of a low-cost system to reliably detect muscle fatigue. This system could be implemented in several fields, such as sport, ergonomics, rehabilitation or human-computer interactions.
dc.identifier.bibliographicCitationToro, S. F. del, Santos-Cuadros, S., Olmeda, E., Álvarez-Caldas, C., Díaz, V., San Román, J. L. (2019). Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue? Sensors, 19(14), 3204en
dc.identifier.doihttps://doi.org/10.3390/s19143204
dc.identifier.issn1424-8220
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue14
dc.identifier.publicationlastpage19
dc.identifier.publicationtitleSensors
dc.identifier.publicationvolume19 (3204)
dc.identifier.urihttps://hdl.handle.net/10016/31424
dc.identifier.uxxiAR/0000024967
dc.language.isoeng
dc.publisherMDPI
dc.rightsReconocimiento 3.0 España
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherElectromyographyen
dc.subject.otherLow-cost hardwareen
dc.subject.otherValidationen
dc.titleIs the use of a low-cost sEMG sensor valid to measure muscle fatigue?en
dc.typeresearch article*
dc.type.hasVersionVoR*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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