Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform

H. Gonzalez, H. Acevedo, C. Arizmendi, B. F. Giraldo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2013 ICME International Conference on Complex Medical Engineering, CME 2013
Pages483-486
Number of pages4
DOIs
StatePublished - 2013
Event2013 7th ICME International Conference on Complex Medical Engineering, CME 2013 - Beijing, China
Duration: 25 May 201328 May 2013

Publication series

Name2013 ICME International Conference on Complex Medical Engineering, CME 2013

Conference

Conference2013 7th ICME International Conference on Complex Medical Engineering, CME 2013
Country/TerritoryChina
CityBeijing
Period25/05/1328/05/13

Keywords

  • Mechanical Ventilation
  • Neural Networks
  • Time series from respiratory signals
  • Wavelet Transform

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