Système d'instrumentation multimodal de mesures d'activités physiologiques pour la prévention des blessures au travail
|Advisor:||Gosselin, Benoit; Bouyer, Laurent|
|Abstract:||Currently, following a musculoskeletal injury, the patient must return to the treatment center to perform tasks simulations where a professional makes visual observation or take measurements with bulky systems. These tasks are often not representative of reality and the assessment is subjective. Analyzing muscle activity and body position accurately is essential for the prevention, diagnosis and rehabilitation of workplace injuries. The proposed solution is a smart garment made up of a new flexible fiber-electrode integrated into the fabric for an optimal comfort. The work will be to develop a new medical instrumentation circuit. The system will measure muscle activity by surface electromyography and characterization of movement by this new flexible fiber electrode. The fiber electrode has the potential to act as a sensor for both measurements simultaneously. Some instrumentation circuits will be explored to meet this objective. They will be based on a Wheatstone bridge and a current injection method. Electromyography data is analyzed to follow the drop in the median frequency of the signal which is a precursor sign of muscle fatigue. Measuring body position with the fiber is used to observe changes in the mechanics of movement that create a risk of injury. A signal processing algorithm has been developed to enhance the signal through spectral subtraction. The transformation in the spectral domain also serves to compute the request desired physiological information.|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||25 April 2022|
|Collection:||Thèses et mémoires|
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