@inproceedings{fbb4d8dd0e4a47db85857856d4e7351a,
title = "Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform",
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.",
keywords = "Mechanical Ventilation, Neural Networks, Time series from respiratory signals, Wavelet Transform",
author = "H. Gonzalez and H. Acevedo and C. Arizmendi and Giraldo, {B. F.}",
year = "2013",
doi = "10.1109/ICCME.2013.6548296",
language = "Ingl{\'e}s",
isbn = "9781467329699",
series = "2013 ICME International Conference on Complex Medical Engineering, CME 2013",
pages = "483--486",
booktitle = "2013 ICME International Conference on Complex Medical Engineering, CME 2013",
note = "2013 7th ICME International Conference on Complex Medical Engineering, CME 2013 ; Conference date: 25-05-2013 Through 28-05-2013",
}