Title :
Carbon Dioxide Measurement from Breath Gas Using Blind Source Separation
Author :
Lee, Jongyoun ; Bai, Jing ; Kim, Inyoung
Author_Institution :
Dept. of Biomed. Eng., Tsinghua Univ., Beijing
Abstract :
There are many approaches which use breath gas to diagnose disease such as lung cancer, breast cancer and diabetes. But, it has not been used in medical field because of low accuracy by low concentration of target component (ppt, ppb level). According to previous study, end-tidal concentrations of volatile organic component (VOC) correlated with carbon dioxide (CO2) levels. So, we propose CO2 measurement method from breath gas using blind source separation. To verify feasibility of my approach, we measured 132 samples from 10 persons (Age 22~36, 6 males, 4 females) and calculate standard deviation of measured signal and source signal. At the 0.05 level, the difference of the standard deviations is significantly different (p=0.001). According to this result, it shows our approach is applicable to measure CO2 from mixed breath gas. And, it enables to measure VOC using breath gas.
Keywords :
biology computing; biomedical measurement; blind source separation; medical signal processing; pneumodynamics; blind source separation; breast cancer; breath gas; carbon dioxide measurement; diabetes; disease; lung cancer; source signal; volatile organic component; Biomedical engineering; Biomedical measurements; Blind source separation; Blood; Cancer; Carbon dioxide; Diabetes; Gases; Lungs; Mouth;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.849