Recurrence quantification analysis of force signals to assess neuromuscular fatigue in men and women
| Autor: | Cyril Chatain, Mathieu Gruet, Sofiane Ramdani, Jean-Marc Vallier |
|---|---|
| Přispěvatelé: | Université de Toulon (UTLN), Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Impact de l'Activité Physique sur la Santé (IAPS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Recurrence quantification analysis 0206 medical engineering Biomedical Engineering Health Informatics 02 engineering and technology Isometric exercise Force signal fluctuations Exercise-related fatigue 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Voluntary contraction Sex differences medicine [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] Group level Knee extensors business.industry Complexity 020601 biomedical engineering Neuromuscular fatigue Signal Processing business 030217 neurology & neurosurgery |
| Zdroj: | Biomedical Signal Processing and Control Biomedical Signal Processing and Control, Elsevier, 2021, 68, pp.#102593. ⟨10.1016/j.bspc.2021.102593⟩ |
| ISSN: | 1746-8094 |
| DOI: | 10.1016/j.bspc.2021.102593⟩ |
| Popis: | International audience; Recurrence quantification analysis (RQA) is a nonlinear method providing information on the temporal structure of time series. RQA has been extensively used to explore various noisy and nonstationary physiological signals. However, the application of RQA to force signals acquired during voluntary fatiguing contractions performed until exhaustion remain to be investigated. We aimed to explore the sensitivity of the percentage of determinism (DET), an RQA predictability measure, to detect changes of force signal complexity induced by fatigue and recovery. Changes in force signal complexity were compared between women and men to explore the ability of DET measures to detect different fatigue profiles. Nineteen women and nineteen men performed intermittent isometric contractions of knee extensors at 50% of maximal voluntary contraction (MVC) until exhaustion. Participants performed MVC before, during and after the fatiguing task to assess neuromuscular fatigue. Recovery measurements were performed three minutes after exhaustion. Particular attention has been given to the selection of the input parameters of RQA and to the influence of nonstationarity. A detailed methodology is provided to apply RQA to force signals. At the whole group level, complexity decreased with fatigue then increased after recovery. Greater fatigability of men was associated with a faster loss of complexity (i.e. faster increase of DET) of force signals. After recovery, complexity returned to baseline value only for women. These findings confirm that RQA is suited to explore force signal temporal structure and is able to reveal changes of complexity induced by fatigue and recovery by taking into account sex differences. |
| Databáze: | OpenAIRE |
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