Pulmonary Elastance Estimation Considering Periodicity and Perturbation of Respiration

Shunshoku Kanae, Jing Bai*, Lijuan Jia, Masato Ikenoue

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

In artificial respiration therapy, it is necessary to set up and manage the ventilation conditions appropriately, such as air pressure, inspiratory phase time, ventilation frequency, and ventilation volume. Each patient's respiratory system has different characteristics. It is desirable to set up ventilation conditions being suitable for each patient's characteristics from a viewpoint of safe and comfortable medical treatment. For this purpose, three types of respiratory models have been proposed by the authors, and the parameter estimation algorithms are given for each type of models. Based on our previous results of modeling and estimation of respiratory systems, in this paper, data averaging method, parameter averaging method and static P - V curve averaging method are introduced to reduce the effects of perturbation of breath, measurement noise and drift, and to improve the estimation accuracy of respiratory models.

源语言英语
文章编号8484169
页(从-至)1828-1833
页数6
期刊Chinese Control Conference, CCC
2018-January
DOI
出版状态已出版 - 2018
活动37th Chinese Control Conference, CCC 2018 - Wuhan, 中国
期限: 25 7月 201827 7月 2018

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