A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis
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-lim...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/8081 |
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| author | Sara M. Cerqueira Rita Vilas Boas Joana Figueiredo Cristina P. Santos |
| author_facet | Sara M. Cerqueira Rita Vilas Boas Joana Figueiredo Cristina P. Santos |
| author_sort | Sara M. Cerqueira |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-91981ec7f0764ae693e1583019fcaebb |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-91981ec7f0764ae693e1583019fcaebb2025-08-20T02:51:07ZengMDPI AGSensors1424-82202024-12-012424808110.3390/s24248081A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue AnalysisSara M. Cerqueira0Rita Vilas Boas1Joana Figueiredo2Cristina P. Santos3Center for MicroElectroMechanical Systems (CMEMS), University of Minho, 4805-017 Guimarães, PortugalCenter for MicroElectroMechanical Systems (CMEMS), University of Minho, 4805-017 Guimarães, PortugalCenter for MicroElectroMechanical Systems (CMEMS), University of Minho, 4805-017 Guimarães, PortugalCenter for MicroElectroMechanical Systems (CMEMS), University of Minho, 4805-017 Guimarães, PortugalMuscle 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.https://www.mdpi.com/1424-8220/24/24/8081sEMGmuscle fatigueperceived fatiguedynamic movements |
| spellingShingle | Sara M. Cerqueira Rita Vilas Boas Joana Figueiredo Cristina P. Santos A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis Sensors sEMG muscle fatigue perceived fatigue dynamic movements |
| title | A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis |
| title_full | A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis |
| title_fullStr | A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis |
| title_full_unstemmed | A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis |
| title_short | A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis |
| title_sort | comprehensive dataset of surface electromyography and self perceived fatigue levels for muscle fatigue analysis |
| topic | sEMG muscle fatigue perceived fatigue dynamic movements |
| url | https://www.mdpi.com/1424-8220/24/24/8081 |
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