title: A mainstream monitoring system for respiratory CO2 concentration and gasflow.
abstract: Continuous respiratory gas monitoring is an important tool for clinical monitoring. In particular, measurement of respiratory [Formula: see text] concentration and gasflow can reflect the status of a patient by providing parameters such as volume of carbon dioxide, end-tidal [Formula: see text] respiratory rate and alveolar deadspace. However, in the majority of previous work, [Formula: see text] concentration and gasflow have been studied separately. This study focuses on a mainstream system which simultaneously measures respiratory [Formula: see text] concentration and gasflow at the same location, allowing for volumetric capnography to be implemented. A non-dispersive infrared monitor is used to measure [Formula: see text] concentration and a differential pressure sensor is used to measure gasflow. In developing this new device, we designed a custom airway adapter which can be placed in line with the breathing circuit and accurately monitor relevant respiratory parameters. Because the airway adapter is used both for capnography and gasflow, our system reduces mechanical deadspace. The finite element method was used to design the airway adapter which can provide a strong differential pressure while reducing airway resistance. Statistical analysis using the coefficient of variation was performed to find the optimal driving voltage of the pressure transducer. Calibration between variations and flows was used to avoid pressure signal drift. We carried out targeted experiments using the proposed device and confirmed that the device can produce stable signals.
authors.affiliation: School of Electronic Information Engineering, Tianjin University, Tianjin, People's Republic of China.|Tianjin Yaan Polytron Technologies Inc, Tianjin, People's Republic of China.
authors.forename: Jiachen
authors.initials: J
authors.lastname: Yang
authors.affiliation: School of Electronic Information Engineering, Tianjin University, Tianjin, People's Republic of China. chenjunbo2014@tju.edu.cn.
authors.forename: Bobo
authors.initials: B
authors.lastname: Chen
authors.affiliation: Departments of Anesthesiology and Bioengineering, University of Utah, Salt Lake City, UT, USA.
authors.forename: Kyle
authors.initials: K
authors.lastname: Burk
authors.affiliation: School of Electronic Information Engineering, Tianjin University, Tianjin, People's Republic of China.
authors.forename: Haitao
authors.initials: H
authors.lastname: Wang
authors.affiliation: School of Electronic Information Engineering, Tianjin University, Tianjin, People's Republic of China.
authors.forename: Jianxiong
authors.initials: J
authors.lastname: Zhou
mesh_terms: D019296:Capnography / Q000295:instrumentation* / Q000706:statistics & numerical data; D002245:Carbon Dioxide / Q000032:analysis*; D003198:Computer Simulation; D004867:Equipment Design; D020342:Finite Element Analysis; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000706:statistics & numerical data; D012119:Respiration; D012121:Respiration, Artificial; D012815:Signal Processing, Computer-Assisted; D014160:Transducers, Pressure
chemical_list: D002245:Carbon Dioxide
keywords: Capnography; Differential pressure; FEM; Gasflow; NDIR; Respiratory gas monitoring