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Methodology for determine the moment of disconnection of patients of the mechanical ventilation using neural network

Author
Arizmendi, C.; Giraldo, B.; Acevedo, H.
Type of activity
Presentation of work at congresses
Name of edition
Eleventh Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013)
Date of publication
2013
Presentation's date
2013-08
Book of congress proceedings
Eleventh Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013)
First page
1
Last page
6
Repository
http://hdl.handle.net/2117/22463 Open in new window
URL
http://www.laccei.org/LACCEI2013-Cancun/RP243.html Open in new window
Abstract
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 patien...
Citation
Arizmendi, C. [et al.]. Methodology for determine the moment of disconnection of patients of the mechanical ventilation using neural network. A: Latin American and Caribbean Conference for Engineering and Technology. "Eleventh Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013)". 2013, p. 1-6.
Group of research
BIOSPIN - Biomedical Signal Processing and Interpretation

Participants

  • Arizmendi Pereira, Carlos Julio  (author and speaker )
  • Giraldo Giraldo, Beatriz F.  (author and speaker )
  • Gonzalez Acevedo, Hernando  (author and speaker )
  • Acevedo, Holmann Erick  (author and speaker )