Acute Respiratory Distress Syndrome (ARDS) is a major cause of morbidity and has a high rate of mortality. ARDS patients in the intensive care unit (ICU) require mechan-ical ventilation (MV) for breathing support, but...Acute Respiratory Distress Syndrome (ARDS) is a major cause of morbidity and has a high rate of mortality. ARDS patients in the intensive care unit (ICU) require mechan-ical ventilation (MV) for breathing support, but inappropriate settings of MV can lead to ventilator induced lung injury (VILI). Those complications may be avoided by carefully optimizing ventilation parameters through model-based approaches. In this study we introduced a new model of lung mechanics (mNARX) which is a variation of the NARX model by Langdon et al. A multivariate process was undertaken to deter-mine the optimal parameters of the mNARX model and hence, the final structure of the model fit 25 patient data sets and successfully described all parts of the breathing cycle. The model was highly successful in predicting missing data and showed minimal error. Thus, this model can be used by the clinicians to find the optimal patient specific ventilator settings.展开更多
根据动力学网络的新视角,提出采用一、二阶混合非均匀Kuramoto模型建立微网模型。通过搭建微网系统的传统仿真模型和微网系统的Kuramoto模型,创新地以相位振子双态模型描述微网公共连接点(point of common coupling,PCC)处并/离网状态...根据动力学网络的新视角,提出采用一、二阶混合非均匀Kuramoto模型建立微网模型。通过搭建微网系统的传统仿真模型和微网系统的Kuramoto模型,创新地以相位振子双态模型描述微网公共连接点(point of common coupling,PCC)处并/离网状态的独特方法表征微网并网和孤岛两种运行模式,以验证此建模方式的准确性。微网动态实质是多能源形式能量的转化、传输、消耗的过程,以能量观点研究其功率流动及控制问题,则更符合微网系统运行的本质规律。展开更多
文摘Acute Respiratory Distress Syndrome (ARDS) is a major cause of morbidity and has a high rate of mortality. ARDS patients in the intensive care unit (ICU) require mechan-ical ventilation (MV) for breathing support, but inappropriate settings of MV can lead to ventilator induced lung injury (VILI). Those complications may be avoided by carefully optimizing ventilation parameters through model-based approaches. In this study we introduced a new model of lung mechanics (mNARX) which is a variation of the NARX model by Langdon et al. A multivariate process was undertaken to deter-mine the optimal parameters of the mNARX model and hence, the final structure of the model fit 25 patient data sets and successfully described all parts of the breathing cycle. The model was highly successful in predicting missing data and showed minimal error. Thus, this model can be used by the clinicians to find the optimal patient specific ventilator settings.
文摘根据动力学网络的新视角,提出采用一、二阶混合非均匀Kuramoto模型建立微网模型。通过搭建微网系统的传统仿真模型和微网系统的Kuramoto模型,创新地以相位振子双态模型描述微网公共连接点(point of common coupling,PCC)处并/离网状态的独特方法表征微网并网和孤岛两种运行模式,以验证此建模方式的准确性。微网动态实质是多能源形式能量的转化、传输、消耗的过程,以能量观点研究其功率流动及控制问题,则更符合微网系统运行的本质规律。
