Analysis of Respiratory Flow Signals to Identify Success of Patients on Weaning Trials

Statistical analysis is used to analyze seven temporal series obtained from respiratory flow signals of 66 patients on weaning trials. In which, 33 patients belong to successful group (SG), and 33 patients belong to failure group (FG), i.e. failed to maintain spontaneous breathing during trial. Patients were then classified with a pattern recognition neural network, obtaining 78.78 % of accuracy in the classification.

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