A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements
Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various data-driven techniques such as machine learning and statisti...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
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IEEE
2021
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| _version_ | 1826308421663588352 |
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| author | Guo, X Lu, L Robinson, M Tan, Y Goonewardena, K Oetomo, D |
| author_facet | Guo, X Lu, L Robinson, M Tan, Y Goonewardena, K Oetomo, D |
| author_sort | Guo, X |
| collection | OXFORD |
| description | Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various data-driven techniques such as machine learning and statistical approaches. However, it is well-known that sEMGs are usually weak signals with a smaller amplitude and a lower signal-to-noise ratio, making it difficult to apply the traditional signal processing techniques. In particular, the existing methods cannot work well to detect muscle fatigue coming from static poses. This work exploits the concept of weak monotonicity, which has been observed in the process of fatigue, to robustly detect muscle fatigue in the presence of measurement noises and human variations. Such a population trend methodology has shown its potential in muscle fatigue detection as demonstrated by the experiment of a static pose. |
| first_indexed | 2024-03-07T07:19:14Z |
| format | Conference item |
| id | oxford-uuid:050ed959-0828-4190-af1a-1c9dadd3b482 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:19:14Z |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:050ed959-0828-4190-af1a-1c9dadd3b4822022-09-22T15:48:59ZA weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurementsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:050ed959-0828-4190-af1a-1c9dadd3b482EnglishSymplectic ElementsIEEE2021Guo, XLu, LRobinson, MTan, YGoonewardena, KOetomo, DMuscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various data-driven techniques such as machine learning and statistical approaches. However, it is well-known that sEMGs are usually weak signals with a smaller amplitude and a lower signal-to-noise ratio, making it difficult to apply the traditional signal processing techniques. In particular, the existing methods cannot work well to detect muscle fatigue coming from static poses. This work exploits the concept of weak monotonicity, which has been observed in the process of fatigue, to robustly detect muscle fatigue in the presence of measurement noises and human variations. Such a population trend methodology has shown its potential in muscle fatigue detection as demonstrated by the experiment of a static pose. |
| spellingShingle | Guo, X Lu, L Robinson, M Tan, Y Goonewardena, K Oetomo, D A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title | A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title_full | A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title_fullStr | A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title_full_unstemmed | A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title_short | A weak monotonicity based muscle fatigue detection algorithm for a short-duration poor posture using sEMG measurements |
| title_sort | weak monotonicity based muscle fatigue detection algorithm for a short duration poor posture using semg measurements |
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