Diseño de un clasificador para pacientes en proceso de extubación

The mechanical ventilation (MV) is a therapeutic strategy to mechanically assist or replace spontaneous breathing. With the objective of developing a software support for doctors was performed a study of respiratory signals using the discrete wavelet transform to determine the descriptors to indicat...

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Bibliographic Details
Main Authors: Hernando González-Acevedo, Beatriz Giraldo-Giraldo, Carlos Julio Arizmendi-Pereira
Format: Article
Language:English
Published: Universidad Santo Tomás 2015-11-01
Series:Iteckne
Subjects:
Online Access:http://revistas.ustabuca.edu.co/index.php/ITECKNE/article/view/1239
Description
Summary:The mechanical ventilation (MV) is a therapeutic strategy to mechanically assist or replace spontaneous breathing. With the objective of developing a software support for doctors was performed a study of respiratory signals using the discrete wavelet transform to determine the descriptors to indicate whether the patient can be disconnected from the mechanical ventilator. To reduce the dimensionality of the system was performed a principal component analysis (PCA), establishing three variables optimal, which are the inputs to the classifiers that were analyzed in the article: K-Nearest Neighbor and fuzzy logic.
ISSN:1692-1798
2339-3483