Title :
Feature Extraction of Capnogram for Asthmatic Patient
Author :
Kean, Tan Teik ; Teo, A.H. ; Malarvili, M.B.
Author_Institution :
Fac. of Biomed. & Health Sci. Eng., Univ. Teknol. Malaysia, Malaysia
Abstract :
In this paper, a total of 13 features were studied and automatically extracted to differentiate the asthmatic and nonasthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are found to be the best among the investigated parameters in differentiating the two groups. Ongoing results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.
Keywords :
feature extraction; medical signal processing; Hjorth parameters; asthmatic capnogram; asthmatic patient; feature extraction; nonasthmatic capnogram; slope ratio; Biomedical engineering; Carbon dioxide; Electromagnetic wave absorption; Feature extraction; Gas detectors; Infrared detectors; Medical treatment; Patient monitoring; Pressure measurement; Wavelength measurement; asthma; capnography; feature extraction;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.286
