Resumen

GONZALEZ-ACEVEDO, Hernando; ARIZMENDI-PEREIRA, Carlos Julio  y  GIRALDO-GIRALDO, Beatriz. Classifier design for patients on weaning process. Iteckne [online]. 2015, vol.12, n.2, pp.131-137. ISSN 1692-1798.

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.

Palabras clave : Fuzzy logic classifier; K-Nearest neighbor classifier; mechanical ventilation; principal component analysis; wavelet transform.

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