2019
DOI: 10.3390/s19143204
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Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue?

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 sensor… Show more

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Cited by 51 publications
(43 citation statements)
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References 74 publications
(95 reference statements)
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“…In turn, the main limitation of this method is signal sensitivity to internal and external factors [7]. Due to the overwhelming benefits of this method, recent decades have contributed to the creation and dissemination of low-cost sEMG devices, some of which are positively validated in scientific research [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…In turn, the main limitation of this method is signal sensitivity to internal and external factors [7]. Due to the overwhelming benefits of this method, recent decades have contributed to the creation and dissemination of low-cost sEMG devices, some of which are positively validated in scientific research [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Electromyography (EMG) provides information related to muscle activity [1,2,3]. For that reason, EMG devices are used in many research fields, such as biomedical, ergonomics, physiotherapy or sports performance applications, where it is very important to assess the behaviour of the muscles throughout the task [4] based on the changes in the electrical signal [5,6,7,8,9,10]. Moreover, this kind of technology can be used to improve other studies [11].…”
Section: Introductionmentioning
confidence: 99%
“…Additional sensors may be integrated with IMUs in the future to improve performance. Electromyography can identify which muscles are being activated to better assess the effectiveness of exercises in rehabilitation and may improve classifier models through additional features such as muscle fatigue [36]. Thermal sensors can improve relative orientation measures and have been shown to significantly improve classification accuracy from 75 to 94% [37].…”
Section: Discussionmentioning
confidence: 99%