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Modelling Patient's Spontaneous Effort During Controlled Mechanical Ventilation Using Basis Functions

机译:使用基本功能在受控机械通风期间建模患者的自发努力

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During mechanical ventilation(MV)of respiratory failure patients,clinicians require real time patient-specific lung condition to set MV treatment.Application of mathematical models to determine patient-specific condition in setting MV is increasingly sought after amongst clinicians.However,when the patient is breathing spontaneously during controlled ventilation modes,estimation of respiratory mechanics becomes erroneous due to presence of patient inspiratory effort.Thus,there is a need to determine patient's respiratory mechanics during the presence of these efforts.This study presents a mathematical expression built on the single compartment model to determine patient respiratory mechanics.The model uses basis function and takes patient inspiratory effort into account.Inspiratory efforts of 1125 cases were simulated to determine the model performance and its stability.The study revealed that the model was capable of estimating asynchronous airway pressure.The model can be potentially useful to simulate any nonlinear airway pressure waveform with spontaneous effort.
机译:在呼吸衰竭患者的机械通气(MV)期间,临床医生需要实时患者特异性肺状况来设置MV治疗。数学模型的应用在临床医生中越来越多地寻求MV的患者特异性条件。然而,患者在受控通风模式下自发地呼吸,由于存在患者吸气努力,呼吸力学的估计变得错误。因此,需要在这些努力的情况下确定患者的呼吸力学。本研究提出了一个在单身上建造的数学表达分区模型确定患者呼吸力学。模型使用基本函数,并考虑患者吸气努力。模拟1125例的血管育努力确定模型性能及其稳定性。该研究表明,该模型能够估算异步气道压力模型可能是潜在的用于模拟具有自发努力的任何非线性气道压力波形。

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