Equipment for measurement of gas exchange dynamics

气体交换动力学测量设备

• 批准号: RTI-2019-00124
• 负责人: Hughson, Richard
• 金额: $ 5.33万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654070
• 关键词: Equipment; measurement; gas; exchange; dynamics

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.

最近我们的基本气体分析系统出现了故障。这项提议是为了确保获得资金，以获得对我们持续研究项目绝对必要的替代组件，这些组件最近在了解日常生活活动中运动过渡中人类代谢适应方面开辟了新的前沿，并提供了健身和健康状况变化的敏感指标。我们将取代质谱仪系统，它是实验室研究的支柱，以及便携式分析仪，它对新型测量和预测算法的发展至关重要，使我们成为第一个在无监督的日常生活活动中监测气体交换动态的团队。这两个单位一起将恢复我们进行世界级研究的能力。三气体分析仪是在实验室研究中取代质谱仪的最经济有效的方法。该装置具有快速响应的O2和CO2分析仪，通过减法提供N2，使其能够插入我们的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至关重要，并在技术的持续发展中提供基础事实参考，以量化复杂的心肺适应日常生活的挑战。这些真实数据代表了机器学习算法开发所需的重要组成部分，该算法处理由加拿大公司开发的可穿戴传感器技术生成的大量数据。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运动领域。在滑铁卢开发的算法将应用于我们对生活在国际空间站上的宇航员的研究，在我们的血管老化研究中，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后数据相匹配。在我们的计算机控制气体混合装置中，三气体分析仪也取代了质谱仪，用于控制潮汐末O2和CO2浓度，用于呼吸控制和脑血流调节的研究。这种设备的应用将使动脉二氧化碳分压的敏感调节成为可能，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，导致运动时脑血流量的增加。我们的研究项目在培养优秀研究生方面有着悠久的历史。这种新设备将每天被博士后研究员、研究生和本科生在生理和工程项目中训练，以提取有关心肺和脑血管控制的复杂动态的新信息，并应用于我们日常生活中的健康维护，运动员和宇航员。