Wong L S, Williams E M, Hamilton R, Hahn C E
Nuffield Department of Anaesthetics, University of Oxford, Radcliffe Infirmary, Oxford, UK.
J Clin Monit Comput. 2000 Jan;16(1):33-43. doi: 10.1023/a:1009956810968.
An IBM PC-based real-time data acquisition, monitoring and analysis system was developed for the assessment of cardio-respiratory function, i.e. airway dead space, alveolar volume and pulmonary blood flow, using oscillating inert inspired gas forcing signals.
The forcing gas mixture was generated by an in-house sinusoid gas delivery unit. The system interfaced with a mass spectrometer and an airway flow transducer, and performed real-time tracking of the breath-by-breath end-inspired, end-expired and mixed-expired concentrations. It calculated the cardiorespiratory parameters using two, i.e. continuous and tidal, in-house mathematical models of the lungs. The system's performance was evaluated using a mechanical bench lung, laboratory subjects and awake adults breathing spontaneously. Its predictive accuracy was compared with the measured volumes of the bench lung; single breath CO2 test for airway dead space and N2 washout for alveolar volume in laboratory subjects and awake adults; and thermal dilution technique for pulmonary blood flow in laboratory subjects.
Close agreements were found between the true and predicted airway dead space, i.e. mean differences of -12.39%, 14.47% and -17.49%, respectively, and that of alveolar volume, i.e. -8.03%, -3.62% and 7.22%, respectively, in the bench lung, laboratory subject and awake adult studies; and that of pulmonary blood flow (-23.81%) in the laboratory subjects using the continuous lung model. Even closer agreements were observed for airway dead space (-5.8%) and alveolar volume (-4.01%) of the bench lung and for pulmonary blood flow (-8.47%) in the laboratory subjects using the tidal lung model.
A system was developed to deliver, monitor and analyse on-line, and in real-time, output data from the sinusoid forcing technique. The technique was administered using the system in various subjects, and produced favourable predictions.
开发了一种基于IBM个人计算机的实时数据采集、监测和分析系统，用于评估心肺功能，即气道死腔、肺泡容积和肺血流量，该系统使用振荡惰性吸入气体强迫信号。
强迫气体混合物由内部正弦气体输送单元产生。该系统与质谱仪和气道流量传感器相连，实时跟踪逐次呼吸的吸气末、呼气末和混合呼气浓度。它使用两种内部肺部数学模型（即连续模型和潮气模型）计算心肺参数。使用机械模拟肺、实验室受试者和自主呼吸的清醒成年人对该系统的性能进行评估。将其预测准确性与模拟肺的测量容积、实验室受试者和清醒成年人的气道死腔单次呼吸二氧化碳试验以及肺泡容积氮气冲洗试验；以及实验室受试者肺血流量的热稀释技术进行比较。
在模拟肺、实验室受试者和清醒成年人研究中，真实和预测的气道死腔之间达成了密切一致，分别为平均差异-12.39%、14.47%和-17.49%，肺泡容积的平均差异分别为-8.03%、-3.62%和7.22%；使用连续肺模型时，实验室受试者肺血流量的平均差异为-23.81%。使用潮气肺模型时，模拟肺的气道死腔（-5.8%）和肺泡容积（-4.01%）以及实验室受试者肺血流量（-8.47%）的一致性更为密切。
开发了一种系统，用于在线实时传递、监测和分析正弦强迫技术的输出数据。该技术通过该系统应用于不同受试者，并产生了良好的预测结果。
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