Chapitre 2: Validity of Wearable Sensors at Shoulder Joint: Combining Wireless Electromyography
4.4. Retombées cliniques potentielles
4.4.3. Comparaison avec les outils cliniques actuels
En clinique, la mesure d’amplitude articulaire est mesurée à l’aide d’un goniomètre ou d’un inclinomètre. Ces outils de mesures présentent une erreur de mesure assez grande (limite de concordance de 95 % allant de 2 à 20°) [174] pour des mouvements simples et ne peuvent effectuer de mesures en continu. L’erreur de mesure moyenne des capteurs inertiels présentés dans le Chapitre 2 (≤12.68°) se situe à l’intérieur de l’étendue d’erreurs donnée par l’inclinomètre ou le goniomètre en plus d’offrir la possibilité d’enregistrer l’élévation lors de tâches de la vie de tous les jours, en continu et à l’extérieur du laboratoire. De plus, considérant que l’inclinomètre et le goniomètre permettent seulement de mesurer des mouvements simples, l’erreur de mesure des IMU à ce niveau (≤6.72°) est largement en de ça de celle mesurée par ces outils communément utilisés en clinique.
Conclusion
Dans un premier temps, les résultats du Chapitre 1 permettent de conclure sur la validité de l’utilisation des capteurs inertiels pour la quantification de l’amplitude articulaire aux
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différentes articulations du corps, mais plus d’études sur leur fidélité doivent être effectuées avant d’émettre des conclusions pour cette qualité psychométrique. Il a également été démontré que plus d’études au niveau du coude et de l’épaule, ainsi que dans des tâches plus représentatives de la vie de tous jours, sont encore nécessaires avant de les utiliser de façon régulière dans un contexte clinique.
Dans un deuxième temps, les résultats du Chapitre 2 ajoutent des informations à ce manque de littérature et permettent de conclure sur la validité, ainsi que l’utilité de combiner un système de capteurs inertiels et un système d’EMG sans-fils pour quantifier la demande à l’épaule d’une tâche de manutention. En effet, ces deux systèmes permettent de mesurer en continu des données d’élévation au membre supérieur et de discriminer le niveau de demande de l’emploi basé sur la mesure d’activité musculaire du muscle deltoïde. Des développements technologiques et logiciels sont toutefois encore nécessaires avant que cette technologie soit accessible en clinique en raison de la complexité d’utilisation et de traitements des données. Plus d’études combinant ces deux technologies sont également nécessaires en contexte réel d’emploi afin de statuer de la validité des données recueillies en environnement non contrôlé, mais les résultats présentés dans ce mémoire sont prometteurs pour le domaine de la réadaptation socioprofessionnelle.
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