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PROBABILISTIC NON-INVASIVE ASSESSMENT OF RESPIRATORY MECHANICS FOR DIFFERENT PATIENT CLASSES

机译：不同患者类别的呼吸力学的概率非侵入性评估

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摘要

In a medical ventilator system, a ventilator (10) delivers ventilation to a ventilated patient (12). Sensors (24, 26) acquire airway pressure and air flow data for the ventilated patient. A probabilistic estimator module (40) estimates respiratory parameters of the ventilated patient by fitting a respiration system model (50) to a data set comprising the acquired airway pressure and air flow data using probabilistic analysis, such as Bayesian analysis, in which the respiratory parameters are represented as random variables. A display component (22) displays the estimated respiratory parameters of the ventilated patient along with confidence or uncertainty data comprising or derived from probability density functions for the random variables representing the estimated respiratory parameters.

机译：在医用呼吸机系统中，呼吸机（ 10 ）为通气的患者（ 12 ）提供通风。传感器（ 24、26 ）获取通气患者的气道压力和气流数据。概率估计器模块（ 40 ）通过将呼吸系统模型（ 50 ）拟合到包含获取的气道压力和气流数据的数据集来估计通气患者的呼吸参数使用概率分析（例如贝叶斯分析），其中呼吸参数表示为随机变量。显示组件（ 22 ）显示通气患者的估计呼吸参数以及置信度或不确定性数据，该置信度或不确定性数据包括代表估计呼吸参数的随机变量的概率密度函数或从中得出。 展开▼

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公开/公告号US2017367617A1

专利类型

公开/公告日2017-12-28

原文格式PDF

申请/专利权人 KONINKLIJKE PHILIPS N.V.;
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申请/专利号US201515535444

发明设计人 ANTONIO ALBANESE;NICOLAS WADIH CHBAT;ADAM JACOB SEIVER;
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申请日2015-12-16

分类号A61B5/085;A61B5/087;A61M16;A61M16/16;

国家 US

入库时间 2022-08-21 13:02:17

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