Contribution à la mise en œuvre et l’évaluation de technologies embarquées pour l’appareillage de personnes amputées du membre inférieur

Abstract : Prosthetic devices allow people with lower limb amputation to recover their autonomy. Currently, this autonomy is limited in several everyday life situations such as walking on a slope or in stairs. Embedded sensors, frequently integrated inside the prostheses, record kinematic and dynamic data during locomotion. In this context, this PhD thesis aims to contribute to the development of methods for the processing of data provided by these technologies to quantify and improve the adaptation of the prosthesis to the environment. These methods were applied and evaluated in the context of the use of a new prosthetic knee-ankle system controlled by microprocessor (SPCM) developed by Proteor to facilitate the locomotion in situations such as slope or downstairs walking for people with above knee amputation. The first part of the work was devoted to the quantification of the adaptations allowed by the SPCM in different situations of daily life (flat, slope, staircase). The second part of the thesis focused on the estimation of gait parameters (walking speed and slope inclination) and the classification of 4 everyday life situations (flat, slope ascent and descent, stair descent) using machine learning algorithms that can be computed by the SPCM in real time. The body of this work will make it possible to better quantify the user real life activity. This quantification could help the user or the medical team in the activity monitoring but also the manufacturer to improve the adaptation of the prosthetic components to the environment and to verify the SPCM actual use.
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Submitted on : Tuesday, November 27, 2018 - 11:54:06 AM
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Boris Dauriac. Contribution à la mise en œuvre et l’évaluation de technologies embarquées pour l’appareillage de personnes amputées du membre inférieur. Biomécanique [physics.med-ph]. Ecole nationale supérieure d'arts et métiers - ENSAM, 2018. Français. ⟨NNT : 2018ENAM0017⟩. ⟨tel-01936168⟩

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