Nombre: ANNY DOS SANTOS NATALI
Fecha de publicación: 06/12/2023
Junta de examinadores:
Nombre |
Papel |
|---|---|
| CAMILO ARTURO RODRIGUEZ DIAZ | Presidente |
| CARLOS ANDRÉS CIFUENTES GARCIA | Examinador Externo |
| EVANDRO OTTONI TEATINI SALLES | Coorientador |
| MARIA JOSE PONTES | Examinador Interno |
Sumario: The Brazilian Institute of Geography and Statistics (IBGE) carried out a survey that demonstrates that there is a portion of the population that needs special care. Approximately 45.6 million people, which is equivalent to 23% of the Brazilian population
(Demographic Census 2010), reported having some type of disability, including those directly related to reduced mobility. Bedridden people are more likely to be affected by pressure ulcers that arise as a result of pressure generated by a weight force on the skin and underlying tissues located between the bony prominence regions of the body and an external surface, such as the surface of a mattress, This continuous pressure on the same region of the body for a certain prolonged period can cause a skin wound. The main objective of this work is to demonstrate the entire process of developing force/pressure sensors based on low-cost, easy to implement and scalable plastic optical fiber. The sensors, after manufactured, were instrumented on a mattress to allow the identification of three different positions of the body of a person lying down, the positions carried out were dorsal, ventral and lateral. To identify the positions, SVM, MLP and RF machine learning algorithms were applied, using the F1-score evaluation metric that combines precision and recall metrics, satisfactory results were observed with average F1-score rates above 90%, allowing the identification of positions held by volunteers.
