Stability analysis of sleep apnea time series using identified models: a case study
This paper investigates the use of identified nonlinear multivariable autonomous models in the classification of breathing patterns of a patient with sleep apnea. Details about the identification procedure are provided and the results reported for the case study at hand suggest that identified models could be useful in computer-based monitoring.
sleep apnea nonlinear system identification blood oxygen saturation heart rate variability respiration rate model-based monitoring