Equipment for measurement of gas exchange dynamics

我们的基本气体分析器系统最近出现了故障。这项提议是为了获得资金，以获得对我们的持续研究计划绝对必要的替代组件，这些研究计划最近在了解日常生活活动期间运动过渡中人类代谢适应方面开辟了新的前沿，并提供了一个关于健康和健康状况变化的敏感指数。我们将更换作为实验室研究骨干的质谱仪系统和便携式分析仪，后者对新的测量和预测算法的开发至关重要，使我们成为第一个监测日常生活活动中气体交换动态的小组。这两个单位加在一起将恢复我们生产世界级研究的能力。三元气体分析仪是取代质谱仪进行实验室研究的最具成本效益的方法。该装置具有快速响应的O2和CO2分析仪，通过减法匹配提供氮气，使其能够插入我们的逐呼吸气体交换分析系统。新的便携式气体分析系统对于将实验室研究与现实世界的研究联系起来，并在持续开发技术以量化复杂的心肺适应日常生活挑战的过程中提供实地参考至关重要。这些地面真实数据是开发机器学习算法所需的重要组成部分，机器学习算法处理由一家加拿大公司开发的可穿戴传感器技术产生的大量数据。研究将把我们最近的成功扩展到以非线性动力学为特征的重练习领域。滑铁卢开发的算法将应用于我们在我们的研究中对居住在国际空间站的宇航员的研究血管老化，当我们收集地球和飞行中的可穿戴传感器数据时，这些数据将与来自便携式系统的飞行前和飞行后的数据相匹配。在我们的计算机控制的气体混合装置中，Tri-Gas Analyzer还取代了质谱仪，用于控制呼气末O2和CO2浓度，用于呼吸控制和脑血流调节的研究。该设备的应用将使对动脉二氧化碳分压的灵敏调节成为可能，从而可以研究血气、动脉血压和神经血管耦合如何相互作用，导致运动后脑血流量增加。我们的研究项目在培养优秀研究生方面有着广泛的历史。这种新设备将被生理学和工程学项目培训的博士后研究员、研究生和本科生每天使用，以提取关于心肺和脑血管控制的复杂动力学的新信息，并将其应用于日常生活中的健身维护、运动员和宇航员。

We recently had failures of our essential gas analyzer systems. This proposal is to secure funding to obtain replacement components that are absolutely essential to our continued research programs that have recently established a new frontier in understanding human metabolic adaptations in exercise transitions during activities of daily living, and provide a sensitive index of changes in fitness and health status. We will replace a mass spectrometer system that was the backbone of laboratory-based studies and a portable analyzer that has been critical to novel measurements and predictive algorithm development that enabled us to be the first group to monitor gas exchange dynamics in unsupervised activities of daily living. These two units together will restore our capability to produce world-class research. A Tri-Gas Analyzer is the most cost effective way of replacing the mass spectrometer for in-laboratory research. This unit has fast response O2 and CO2 analyzers that have been matched to provide N2 by subtraction enabling it to be inserted into our breath-by-breath gas exchange analysis system. The new portable gas analysis system is essential for linking the laboratory studies to research in the real world and providing ground-truth referencing during continued development of technology to quantify complex cardiorespiratory adaptations to challenges of daily living. These ground-truth data represent an essential component required for development of machine learning algorithms that process large quantities of data generated by a wearable sensor technology developed by a Canadian company. Research will extend our recent success into heavy exercise domains that are characterized by nonlinear dynamics. Algorithms developed in Waterloo will be applied in our research of astronauts living on the International Space Station in our study Vascular Aging when we collect wearable sensor data on Earth and inflight that will be matched to pre- and post-flight data from the portable system. The Tri-Gas Analyzer also takes the place of the mass spectrometer in our computer controlled gas mixing device for controlling end-tidal O2 and CO2 concentration for studies of respiratory control and cerebral blood flow regulation. This application of the equipment will enable sensitive regulation of arterial PCO2 permitting investigations of how blood gases, arterial blood pressure and neurovascular coupling interact causing an increase in cerebral blood flow with exercise. Our research programs have extensive histories of training outstanding graduate students. This new equipment will be used daily by post-doctoral fellows, graduate and undergraduate students training in the physiology and engineering programs to extract novel information on the complex dynamics of cardiorespiratory and cerebrovascular control with applications to maintenance of fitness in our daily lives, athletes and astronauts.