A comprehensive dataset of surface electromyography and self-perceived fatigue levels for muscle fatigue analysis
(Ein umfassender Datensatz von Oberflächen-Elektromyographie und selbst empfundener Ermüdung zur Analyse der Muskelermüdung )
Muscle fatigue is a risk factor for injuries in athletes and workers. This brings relevance to the study of this biochemical process to allow for its identification and prevention. This paper presents a novel dataset for muscle fatigue analysis comprising surface electromyography data from upper-limbs and the subject`s self-perceived fatigue level. This dataset contains 13 h and 20 min of data from 13 participants performing a total of 12 upper-limb dynamic movements (8 uni-articular and 4 complex/compound). This dataset may contribute to the testing of new fatigue detection algorithms and analysis of the underlying mechanisms.
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| Schlagworte: | |
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| Notationen: | Biowissenschaften und Sportmedizin Trainingswissenschaft Naturwissenschaften und Technik |
| Tagging: | data mining |
| Veröffentlicht in: | Sensors |
| Sprache: | Englisch |
| Veröffentlicht: |
2024
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| Online-Zugang: | https://doi.org/10.3390/s24248081 |
| Jahrgang: | 24 |
| Heft: | 24 |
| Seiten: | 8081 |
| Dokumentenarten: | Artikel |
| Level: | hoch |