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1. 发明公开

EP1586344A2 Ventilator monitor system 有权
标题翻译： Überwachungssystemfür呼吸机
公开(公告)号：EP1586344A2
公开(公告)日：2005-10-19
申请号：EP05010602.0
申请日：2000-06-30
申请人： University of Florida Research Foundation, Inc.
发明人： Banner, Michael J. , Blanch, Paul Bradford , Eulinao, Neil Russell , Principe, Jose C.
IPC分类号： A61M16/00
CPC分类号： G06F19/3481 , A61B5/0205 , A61B5/0836 , A61B5/087 , A61B5/7264 , A61B5/7267 , A61M16/0051 , A61M16/026 , A61M16/12 , A61M2016/0021 , A61M2016/0036 , A61M2205/3553 , A61M2230/06 , A61M2230/205 , A61M2230/30 , A61M2230/432 , A61M2230/435 , A61M2230/50 , G06F19/00 , G06F19/3456 , G16H40/63 , Y10S128/924 , Y10S128/925 , A61M2230/005
摘要： Embodiments of the present invention include a system and method for monitoring the ventilation support provided by a ventilator (20) that is supplying a breathing gas to a patient (p) via a breathing circuit (22) that is in fluid communication with the lungs of the patient (p). The ventilator (20) has a plurality of selectable ventilator setting controls (30) governing the supply of ventilation from the ventilator (20), each setting control (30) selectable to a level setting. The ventilator support monitor system (10) preferably receives at least one ventilator setting parameter signal (42), each ventilator setting parameter signal (42) indicative of the level settings of one ventilator setting control (30), monitors a plurality of sensors (52-58), each sensor (52-58) producing an output signal (51) indicative of a measured ventilation support parameter, to determine the sufficiency of the ventilation support received by the patient (p), and determines the desired level settings of the ventilator setting controls (30) in response to the received ventilator setting parameter signal (42) and the output signals (51). The ventilator support monitor system (10) preferably utilizes a trainable neural network (82) to determine the desired level settings of the ventilator setting controls (30).
摘要翻译：本发明的实施例包括一种用于监测通气机构（20）提供的通气支架的系统和方法，所述呼吸机（20）通过呼吸回路（22）向呼吸气体供给呼吸气体，呼吸回路与肺病人（p）。所述呼吸机（20）具有多个可选择的呼吸机设定控制装置（30），其控制从呼吸机（20）供应通气，每个设定控制装置（30）可选择为电平设定。呼吸机支持监视器系统（10）优选地接收至少一个呼吸机设定参数信号（42），指示一个呼吸机设定控制（30）的电平设定的每个呼吸机设定参数信号（42）监视多个传感器 -58），每个传感器（52-58）产生指示测量的通气支持参数的输出信号（51），以确定患者（p）接收到的通气支持的充足性，并确定患者响应于所接收的呼吸机设定参数信号（42）和输出信号（51），呼吸机设定控制（30）。呼吸机支持监视器系统（10）优选地利用可训练神经网络（82）来确定呼吸机设置控制（30）的期望水平设置。

2. 发明授权

EP1586344B1 Ventilator monitor system 有权
标题翻译：监测系统风扇
公开(公告)号：EP1586344B1
公开(公告)日：2010-10-06
申请号：EP05010602.0
申请日：2000-06-30
申请人： University of Florida Research Foundation, Inc.
发明人： Banner, Michael J. , Blanch, Paul Bradford , Euliano, Neil Russell , Principe, Jose C.
IPC分类号： A61M16/00
CPC分类号： G06F19/3481 , A61B5/0205 , A61B5/0836 , A61B5/087 , A61B5/7264 , A61B5/7267 , A61M16/0051 , A61M16/026 , A61M16/12 , A61M2016/0021 , A61M2016/0036 , A61M2205/3553 , A61M2230/06 , A61M2230/205 , A61M2230/30 , A61M2230/432 , A61M2230/435 , A61M2230/50 , G06F19/00 , G06F19/3456 , G16H40/63 , Y10S128/924 , Y10S128/925 , A61M2230/005
摘要： Embodiments of the present invention include a system and method for monitoring the ventilation support provided by a ventilator (20) that is supplying a breathing gas to a patient (p) via a breathing circuit (22) that is in fluid communication with the lungs of the patient (p). The ventilator (20) has a plurality of selectable ventilator setting controls (30) governing the supply of ventilation from the ventilator (20), each setting control (30) selectable to a level setting. The ventilator support monitor system (10) preferably receives at least one ventilator setting parameter signal (42), each ventilator setting parameter signal (42) indicative of the level settings of one ventilator setting control (30), monitors a plurality of sensors (52-58), each sensor (52-58) producing an output signal (51) indicative of a measured ventilation support parameter, to determine the sufficiency of the ventilation support received by the patient (p), and determines the desired level settings of the ventilator setting controls (30) in response to the received ventilator setting parameter signal (42) and the output signals (51). The ventilator support monitor system (10) preferably utilizes a trainable neural network (82) to determine the desired level settings of the ventilator setting controls (30).

3. 发明公开

EP1586344A3 Ventilator monitor system 有权
标题翻译：监测系统风扇
公开(公告)号：EP1586344A3
公开(公告)日：2006-07-05
申请号：EP05010602.0
申请日：2000-06-30
申请人： University of Florida Research Foundation, Inc.
发明人： Banner, Michael J. , Blanch, Paul Bradford , Euliano, Neil Russell , Principe, Jose C.
IPC分类号： A61M16/00
CPC分类号： G06F19/3481 , A61B5/0205 , A61B5/0836 , A61B5/087 , A61B5/7264 , A61B5/7267 , A61M16/0051 , A61M16/026 , A61M16/12 , A61M2016/0021 , A61M2016/0036 , A61M2205/3553 , A61M2230/06 , A61M2230/205 , A61M2230/30 , A61M2230/432 , A61M2230/435 , A61M2230/50 , G06F19/00 , G06F19/3456 , G16H40/63 , Y10S128/924 , Y10S128/925 , A61M2230/005
摘要： Embodiments of the present invention include a system and method for monitoring the ventilation support provided by a ventilator (20) that is supplying a breathing gas to a patient (p) via a breathing circuit (22) that is in fluid communication with the lungs of the patient (p). The ventilator (20) has a plurality of selectable ventilator setting controls (30) governing the supply of ventilation from the ventilator (20), each setting control (30) selectable to a level setting. The ventilator support monitor system (10) preferably receives at least one ventilator setting parameter signal (42), each ventilator setting parameter signal (42) indicative of the level settings of one ventilator setting control (30), monitors a plurality of sensors (52-58), each sensor (52-58) producing an output signal (51) indicative of a measured ventilation support parameter, to determine the sufficiency of the ventilation support received by the patient (p), and determines the desired level settings of the ventilator setting controls (30) in response to the received ventilator setting parameter signal (42) and the output signals (51). The ventilator support monitor system (10) preferably utilizes a trainable neural network (82) to determine the desired level settings of the ventilator setting controls (30).

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