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Patients classification on weaning trials using neural networks and wavelet transform

Autor
Arizmendi, C.; Viviescas, J.; Acevedo, H.; Giraldo, B.
Tipus d'activitat
Capítol de llibre
Llibre
Studies in health technology and informatic
Pàgina inicial
107
Pàgina final
110
Editorial
IOS Press
Data de publicació
2014
ISBN
978-1-61499-422-0
DOI
10.3233/978-1-61499-423-7-107
URL
http://ebooks.iospress.nl/volumearticle/36820 Obrir en finestra nova
Resum
The determination of the optimal time of the patients in weaning trial process from mechanical ventilation, between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Wavelet Transform (WT) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through ...
Paraules clau
Weaning Process, Neural Networks, Discrete Wavelet Transform, Genetic Algorithms
Grup de recerca
BIOSPIN - Biomedical Signal Processing and Interpretation

Participants

  • Arizmendi Pereira, Carlos Julio  (autor)
  • Viviescas, Juan  (autor)
  • Gonzalez Acevedo, Hernando  (autor)
  • Giraldo Giraldo, Beatriz F.  (autor)