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Title:	Methodology for determine the moment of disconnection of patients of the mechanical ventilation using neural network
Author:	Arizmendi Pereira, Carlos Julio; Giraldo Giraldo, Beatriz; Gonzalez Acevedo, Hernando; Acevedo, Holmann Erick
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Institut de Bioenginyeria de Catalunya; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
Abstract:	The process of weaning from mechanical ventilation is one of the challenges in intensive care units. In this paper 66 patients under extubation process (T-tube test) were studied: 33 patients with successful trials and 33 patients who failed to maintain spontaneous breathing and were reconnected. Each patient was characterized using 7 time series from respiratory signals, and for each serie was extracted 4 statistics data. Two types of Neural Networks were applied for discriminate between patients from the two groups: radial basis function and multilayer perceptron, getting better results with the second type of network.
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica -Àrees temàtiques de la UPC::Ciències de la salut -Respiració artificial
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
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