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    • 6. 发明授权
    • Ventilator patient synchronization
    • 呼吸机病人同步
    • US07727160B2
    • 2010-06-01
    • US11287746
    • 2005-11-28
    • Paul Anthony GreenDavid John Bassin
    • Paul Anthony GreenDavid John Bassin
    • A61B5/00
    • A61M16/0069A61M16/024A61M2016/0027A61M2016/0039A61M2230/04
    • A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.
    • 一种提供用于在受试者的通气支持期间确定呼吸相位的专家系统的方法和装置。 离散相位状态被划分,并且定义了每个状态的先验概率函数和观测概率函数。 概率函数基于每个状态的相对持续时间以及每个状态的流量特性。 这些功能被组合以使用贝叶斯定理确定每个状态的相位概率。 然后可以比较所计算的状态概率,以确定受试者正在经历的状态。 然后呼吸机可以根据最可能的阶段来符合呼吸支持。 为了提供学习特征,在使用期间可以调整概率函数以提供考虑到呼吸特征变化的更多受试者特异性响应。
    • 8. 发明授权
    • Ventilator patient synchronization
    • 呼吸机病人同步
    • US07914459B2
    • 2011-03-29
    • US12765380
    • 2010-04-22
    • Paul Anthony GreenDavid John Bassin
    • Paul Anthony GreenDavid John Bassin
    • A61B5/08A61M16/00
    • A61M16/0069A61M16/024A61M2016/0027A61M2016/0039A61M2230/04
    • A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.
    • 一种提供用于在受试者的通气支持期间确定呼吸相位的专家系统的方法和装置。 离散相位状态被划分,并且定义了每个状态的先验概率函数和观测概率函数。 概率函数基于每个状态的相对持续时间以及每个状态的流量特性。 这些功能被组合以使用贝叶斯定理确定每个状态的相位概率。 然后可以比较所计算的状态概率,以确定受试者正在经历的状态。 然后呼吸机可以根据最可能的阶段来符合呼吸支持。 为了提供学习特征,在使用期间可以调整概率函数以提供考虑到呼吸特征变化的更多受试者特异性响应。
    • 10. 发明授权
    • Ventilator patient synchronization
    • 呼吸机病人同步
    • US06860858B2
    • 2005-03-01
    • US10153343
    • 2002-05-22
    • Paul Anthony GreenDavid John Bassin
    • Paul Anthony GreenDavid John Bassin
    • A61M16/00A61B5/00
    • A61M16/0069A61M16/024A61M2016/0027A61M2016/0039A61M2230/04
    • A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.
    • 一种提供用于在受试者的通气支持期间确定呼吸相位的专家系统的方法和装置。 离散相位状态被划分,并且定义了每个状态的先验概率函数和观测概率函数。 概率函数基于每个状态的相对持续时间以及每个状态的流量特性。 这些功能被组合以使用贝叶斯定理确定每个状态的相位概率。 然后可以比较所计算的状态概率,以确定受试者正在经历的状态。 然后呼吸机可以根据最可能的阶段来符合呼吸支持。 为了提供学习特征,在使用期间可以调整概率函数以提供考虑到呼吸特征变化的更多受试者特异性响应。