Validation de mesures d'amplitude d'élévation et d'activité musculaire à l'aide de capteurs sans fil pour l'analyse de mouvements fonctionnels à l'épaule

Authors: Poitras, Isabelle
Advisor: Mercier, CatherineRoy, Jean-Sébastien
Abstract: Quantitative assessments of workplace settings are required to diminish the prevalence of work-related shoulder disorders. Recent development of wearable sensors to record muscle activity (electromyography [EMG]; Trigno, Delsys) as well as shoulder range of motion (inertial measurement unit; MVN, Xsens) could potentially be used for such workplace assessments. A systematic review on the validity and reliability of IMUs performed within this thesis identified a knowledge gap for shoulder joint movements during complex tasks. The primary objective of this thesis was therefore (1) to assess the concurrent validity of the Xsens system for assessment of shoulder range of motion compared to a motion capture system (Vicon) during simple movements and working tasks and (2) to establish the discriminative validity of the Trigno EMG system for the evaluation of muscle activity. Methodology: Sixteen subjects participated in one session in which they performed simple movements and work lifting tasks (different weights and lifting heights). The correlation coefficient (r) and the root mean square error (RMSE) were used to compare the data collected by the Xsens and the Vicon. The root mean square EMG envelope (RMS) and the peak EMG activity of anterior and middle deltoids were used to establish the effect of weight and height (repeated measure ANOVA). Results: The correlation coefficient between joint angles measured with the Xsens and the Vicon was high (>0.84) and the RMSE was low (<12.82°). A significant effect of weight, height and a weight x height interaction effect were observed for the RMS (anterior; p<0.001; middle: p<0.03) and the peak EMG activity (anterior; p<0.003). Conclusion: The combination of an inertial measurement unit system and a wireless EMG is a potentially useful tool to assess physical demand in real work context as it provides valid data on muscular activity and range of motion.
Document Type: Mémoire de maîtrise
Issue Date: 2019
Open Access Date: 6 September 2019
Grantor: Université Laval
Collection:Thèses et mémoires

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