Title :
Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform
Author :
Gonzalez, H. ; Acevedo, H. ; Arizmendi, C. ; Giraldo, Beatriz F.
Author_Institution :
Control & Mecatronica Res. Group, Univ. Autonoma de Bucaramanga, Bucaramanga, Colombia
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 :
discrete wavelet transforms; neural nets; patient treatment; pneumodynamics; time series; ventilation; T-tube test; discrete wavelet transform; extubation process; intensive care units; mechanical ventilation; moment of disconnection; neural network; patients; respiratory signals; spontaneous breathing; time series; weaning; Discrete wavelet transforms; Neural networks; Neurons; Time series analysis; Ventilation; Mechanical Ventilation; Neural Networks; Time series from respiratory signals; Wavelet Transform;
Conference_Titel :
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2970-5
DOI :
10.1109/ICCME.2013.6548296
