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Model predictions online identification of patient respiratory effort dynamics in medical ventilator
Model predictions online identification of patient respiratory effort dynamics in medical ventilator
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机译:在线预测模型在医疗呼吸机中的患者呼吸动力动态
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摘要
Systems and methods for efficient computation of patient respiratory muscle effort are provided. According to one embodiment, patient-ventilator characteristics are received, estimated and/or measured representing values of parameters of interest associated with properties or attributes of a ventilated patient system. Online quantification of respiratory muscle effort of the patient is continuously performed by (i) establishing a respiratory predictive model of the ventilated patient system based on an equation of motion and functions that approximate clinically-observed, patient-generated muscle pressures, (ii) determining an instantaneous leak flow value for the ventilated patient system, and (iii) based on the patient-ventilator characteristics and the instantaneous leak flow value, solving the respiratory predictive model to extract an estimated physiologic respiratory muscle effort value. Then, based on the respiratory muscle effort value or other parameters derived therefrom, the ventilation system is configured and operated for monitoring or breath delivery purposes.
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