使用已识别模型对睡眠呼吸暂停时间序列进行稳定性分析：一项案例研究。
Stability analysis of sleep apnea time series using identified models: a case study.
作者信息
Aguirre Luis Antonio, Souza Alvaro V P
机构信息
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.
出版信息
Comput Biol Med. 2004 Apr;34(3):241-57. doi: 10.1016/S0010-4825(03)00056-8.
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.
本文研究了已识别的非线性多变量自治模型在睡眠呼吸暂停患者呼吸模式分类中的应用。文中提供了关于识别过程的详细信息，针对手头案例研究报告的结果表明，已识别的模型在基于计算机的监测中可能会有用。
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