DEVELOPMENT OF A CLASSIFIER AND A SIMULATOR TO SUPPORT THE DESIGN OF AN ANTI-DECUBITUS ACTIVE MATTRESS

Abstract Approximately 10% of hospitalized patients develops decubitus ulcers that quickly degenerates into chronic illness reduces the quality life and requires expensive clinical management. The use an anti-decubitus active mattress, automatically redistributes pressure loads, occurrence new lesions promotes healing pre-existing ones. aim this work is to design develop two tools support mattress. Almost all systems found in literature are based on classification maps through machine learning difficultly usable context. This proposes a map Classifier Interactive Simulator simpler logic, by integrating image processing techniques functioning simulations. can recognize patient's classify them according six reference sleep postures. allows understand operating mechanisms mattress test controller various control logics absence physical prototype.