Mesures électrophysiologiques : indicateurs d'exposition aux microblessures anatomiques à risque de troubles musculo-squelettiques
|Authors:||Youta Momene, Ulrich|
|Advisor:||Ngomo, Suzy; Otis, Martin J.-D.|
|Abstract:||Musculoskeletal disorders (MSDs) refer to a set of symptoms of the musculoskeletal system such as pain, muscle weakness, inappropriate gestures, etc. The MSDs in this research works are work-related and are attributable, among other things, to repetitive or high-speed movements, to constraining or prolonged postures, exposing anatomical tissues to mechanical overstretching. According to the ranks of "Prevention Index", among the top 20 sub-sectors at risk of MSD, almost all are found among manual workers. However, it is unclear why on a similar workstation, one person develops a TMS while another is free. The goal is to identify muscle parameters (EMG) and brain activation (EEG) that may be personal determinants of muscle micro-injury exposure. Our hypothesis is that tissue overload causes micro-injuries that can result in TMS and that some people are more susceptible to micro-injury; and therefore more at risk of developing a TMS. To do this, physiological data (EEG, EMG) were collected on 12 participants young adults (26,83 ± 4,13 years, two women) in good health during two simulated tasks in standing posture including operations A) with a low risk of exposure to micro-injuries (reference task) and B) with a greater risk of micro-injury exposure (evaluation task). We calculated the power spectral density (DSP) of the signals from the normalized signals for EEG (ERD / ERS expressed in%) as well as for EMG (DSP expressed in μv2) An analysis of variance (ANOVA to repeated measurements) to three factors was conducted to determine the differences across each experimental condition. Our results show the existence of a significant difference in physiological signals during the execution of two tasks. In particular, on the personal determinants at the origin of the differences, we see a significant increase in the desynchronization (ERD) of the beta waves on the left temporal electrode during the task at high-level risk (B) compared to the low-level risk task (A) of micro-injury. In addition, a nonsignificant decrease in power spectral density (DSP), muscle activity on the right deltoid was observed under the same conditions. Although our work is exploratory in nature, it contributes to the advancement of a new approach to characterization of exposure indicators to micro injuries based on physiological signals|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||4 December 2018|
|Collection:||Thèses et mémoires|
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