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Contribution au développement d'un système portable automatique d'aide à la détermination de l'état d'urgence d'un blessé polytraumatisé. Apprentissage supervisé de classes de choc hémorragique.

Guillaume Becq 1, 2, 3
3 TIMC-IMAG-PRETA - Physiologie cardio-Respiratoire Expérimentale Théorique et Appliquée
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : This dissertation describes and evaluates the complete information processing chain proposed to score the health state of a trauma patient. The hypothesis is that the state can be observed in a representative space of features obtained from wearable sensors. During the polytraumatism, the state evolves in various regions corresponding to classes of hemorrhagic shock. These regions are supposed to be independent between individuals. The aim of the study is to recognize these regions. For that, a supervised learning heuristic is proposed and try to find the minimum dimension by feature subset selection (for a minimization of sensors). An animal model of swine enduring controlled continuous blood loss was elaborated. Features were extracted and proposed to an expert for scoring. Supervised learning was realized in a first time in a state space and in a second time in a phase space by evaluating the benefit of dynamical information.
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Submitted on : Thursday, January 11, 2007 - 5:05:04 PM
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Guillaume Becq. Contribution au développement d'un système portable automatique d'aide à la détermination de l'état d'urgence d'un blessé polytraumatisé. Apprentissage supervisé de classes de choc hémorragique.. Autre. Université Joseph-Fourier - Grenoble I, 2004. Français. ⟨tel-00123992⟩

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