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Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform
González, H.; Acevedo, H.; Arizmendi Pereira, Carlos Julio; Giraldo Giraldo, Beatriz
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. 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 evaluated the discrete wavelet transform. It trains a neural network for discriminating between patients from the two groups.
Àrees temàtiques de la UPC::Ciències de la salut::Medicina
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecatrònica
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
Respirators (Medical equipment)
Neural networks
Mechanical Ventilation
Time series from respiratory signals
Wavelet Transform
Neural Networks
Nanomedicina
Biotecnologia
Bioenginyeria
Biomaterials
Mecatrònica
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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