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Published on: December 6, 2016
Stability analysis of sleep apnea time series using identified models: a case study
Luis Antonio Aguirre1, Alvaro V P Souza
1Lab. de Modelagem Análise e Controle de Sistemas Não-Lineares, Departamento de Engenharia Eletrônica Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, Belo Horizonte, Minas Gerais 31270-901, Brazil. aguirre@cpdee.ufmg.br
Abstract:
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.

