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Methodology for determine the moment of disconnection of patients of the mechanical ventilation using neural network
Arizmendi Pereira, Carlos Julio; Giraldo Giraldo, Beatriz; Gonzalez Acevedo, Hernando; Acevedo, Holmann Erick
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
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.
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
Àrees temàtiques de la UPC::Ciències de la salut
Respiració artificial
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
         

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