Muscle Fatigue When Riding a Motorcycle: A Case Study
| Autor: | Priscila Torrado, Martín Ríos, Stéphane Baudry, Michel Marina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
medicine.medical_specialty electromyography Health Toxicology and Mutagenesis Deltoid curve 02 engineering and technology Electromyography Santé publique Biceps Article 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Physical medicine and rehabilitation Forearm Hand strength medicine Humans Muscle Skeletal Mutagenèse et technologie génétique Muscle fatigue medicine.diagnostic_test Muscle strength business.industry Public Health Environmental and Occupational Health 030229 sport sciences Neurophysiol-ogy medicine.anatomical_structure Motorcycles Muscle Fatigue muscle strength Medicine hand strength neurophysiology business Extensor Digitorum Communis |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 18, Iss 7738, p 7738 (2021) Volume 18 Issue 15 International Journal of Environmental Research and Public Health, 18 (15 |
| ISSN: | 1660-4601 1661-7827 |
| Popis: | This case study was conducted to assess muscle pattern, as measured by surface elec-tromyography (sEMG), and its changes during a controlled superbike closed-road track training session. The sEMG signals were recorded unilaterally from biceps brachii (BB), triceps brachii (TB), anterior and posterior part of the deltoid (DA and DP respectively), flexor digitorum superficialis (FS), extensor carpi radialis (CR), extensor digitorum communis (ED) and pectoralis major (PM) during three rounds of 30 min. sEMG signals selected for analysis came from the beginning of the braking action to the way-out of the curves of interest. Considering the laps and rounds as a whole and focusing on the forearm muscles, ED was more systematically (84%) assigned to a state of fatigue than FS (44%) and CR (39%). On the opposite, the TB and DP muscles showed a predominant state of force increase (72%). Whereas the BB showed alternatively a state of fatigue or force increase depending on the side of the curve, when taking into account only the sharpest curves, it showed a predominant state of force increase. In conclusion, the fact that forearm muscles must endure a long-lasting maintenance of considerable activity levels explains why they easily got into a state of fatigue. Moreover, TB and DA are particularly relevant when cornering. SCOPUS: ar.j info:eu-repo/semantics/published |
| Databáze: | OpenAIRE |
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