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

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dc.contributor.author Fuentes del Toro, Sergio
dc.contributor.author Santos Cuadros, Silvia
dc.contributor.author Olmeda Santamaría, Ester
dc.contributor.author Álvarez Caldas, Carolina
dc.contributor.author Díaz López, Vicente
dc.contributor.author San Román García, José Luis
dc.date.accessioned 2020-11-16T16:17:12Z
dc.date.available 2020-11-16T16:17:12Z
dc.date.issued 2019-07-02
dc.identifier.bibliographicCitation Toro, 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), 3204
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10016/31424
dc.description.abstract Injuries 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.language.iso eng
dc.publisher MDPI
dc.rights Reconocimiento 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) license
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Electromyography
dc.subject.other Low-cost hardware
dc.subject.other Validation
dc.title Is the use of a low-cost sEMG sensor valid to measure muscle fatigue?
dc.type article
dc.type.review PeerReviewed
dc.subject.eciencia Ingeniería Mecánica
dc.identifier.doi https://doi.org/10.3390/s19143204
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 14
dc.identifier.publicationlastpage 19
dc.identifier.publicationtitle Sensors
dc.identifier.publicationvolume 19 (3204)
dc.identifier.uxxi AR/0000024967
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