Accéder directement au contenu Accéder directement à la navigation
Nouvelle interface
Communication dans un congrès

Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention

Abstract : In the context of pressure ulcer prevention, this article deals with the problem of detecting and analysing micro-movements in the sacral area of bedridden patients on mattresses equipped with a network of pressure sensors. The study is based on a series of pressure measurements carried out on a cohort of patients lying on two types of mattress at the Nîmes university hospital (France). A spatio-temporal model considers first the local information of measurements from the array of sensors using an evidential filter in order to remove spatial uncertainties or measurement noise before micro-movement analysis. With a Detrended Fluctuation Analysis (DFA), the complexity level of the time series coming from the micro-movement model is finally estimated for different noise filters.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal.mines-ales.fr/hal-03800992
Contributeur : Administrateur IMT - Mines Alès Connectez-vous pour contacter le contributeur
Soumis le : jeudi 6 octobre 2022 - 17:04:30
Dernière modification le : jeudi 10 novembre 2022 - 08:35:57

Identifiants

Citation

Nicolas Sutton-Charani, Francis Faux, Didier Delignières, Willy Fagard, Arnaud Dupeyron, et al.. Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention. BELIEF 2022 - 7th International Conference on Belief Functions, Oct 2022, Paris, France. pp.297-306, ⟨10.1007/978-3-031-17801-6_28⟩. ⟨hal-03800992⟩

Partager

Métriques

Consultations de la notice

11