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.
Aguirre
Luis Antonio
LA
Lab. 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
Souza
Alvaro V P
AV
D003201:Computers; D006339:Heart Rate; D006801:Humans; D008962:Models, Theoretical; D008991:Monitoring, Physiologic / Q000379:methods*; D010100:Oxygen / Q000097:blood; D012119:Respiration; D012891:Sleep Apnea Syndromes / Q000503:physiopathology*
D010100:Oxygen