Methodology for Determine the Moment of Disconnection of Patients of the Mechanical Ventilation using Neural Network
作者： Beatriz F. Giraldo , Carlos Julio Arizmendi , Holmann Erick Acevedo , Hernando González Acevedo
DOI:
关键词: Disconnection 、 Artificial neural network 、 Multilayer perceptron 、 Moment (mathematics) 、 Artificial intelligence 、 Intensive care 、 Mechanical ventilation 、 Breathing 、 Physical medicine and rehabilitation 、 Medicine 、 Radial basis function
摘要: The process of weaning from mechanical ventilation is one the challenges in intensive care units. In this paper 66 patients under extubation (T-tube test) were studied: 33 with successful trials and who failed to maintain spontaneous breathing reconnected. Each patient was characterized using 7 time series respiratory signals, for each serie extracted 4 statistics data. Two types Neural Networks applied discriminate between two groups: radial basis function multilayer perceptron, getting better results second type network.
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