Kang Seok-Won, Chang Keun-Shik
Korea Railroad Research Institute, Uiwang, Gyeonggi-do 437-757, South Korea.
Rev Sci Instrum. 2013 Sep;84(9):095004. doi: 10.1063/1.4821082.
A respiratory monitoring system has been developed for analyzing the carbon dioxide (CO2) and oxygen (O2) concentrations in the expired air using gas sensors. The data can be used to estimate some medical conditions, including diffusion capability of the lung membrane, oxygen uptake, and carbon dioxide output. For this purpose, a 3-way valve derived from a servomotor was developed, which operates synchronously with human respiratory signals. In particular, the breath analysis system includes an integrated sensor module for valve control, data acquisition through the O2 and CO2 sensors, and respiratory rate monitoring, as well as software dedicated to analysis of respiratory gasses. In addition, an approximation technique for experimental data based on Haar-wavelet-based decomposition is explored to remove noise as well as to reduce the file size of data for long-term monitoring.
已开发出一种呼吸监测系统，用于使用气体传感器分析呼出气体中的二氧化碳（CO2）和氧气（O2）浓度。这些数据可用于估计一些医疗状况，包括肺膜的扩散能力、氧气摄取和二氧化碳排出量。为此，开发了一种源自伺服电机的三通阀，它与人体呼吸信号同步运行。特别地，呼吸分析系统包括用于阀门控制的集成传感器模块、通过O2和CO2传感器进行数据采集以及呼吸频率监测，还有专门用于分析呼吸气体的软件。此外，还探索了一种基于哈尔小波分解的实验数据近似技术，以去除噪声并减小长期监测数据的文件大小。
