Feature Extraction of Capnogram for Asthmatic Patient

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.

[1]  R Peslin,et al.  Expiratory capnography in asthma: evaluation of various shape indices. , 1994, The European respiratory journal.

[2]  J. Grilliat,et al.  [Expiratory capnography in asthma. Perspectives in the use and monitoring in children]. , 1992, Revue des maladies respiratoires.

[3]  C. Cairns,et al.  Utility of the expiratory capnogram in the assessment of bronchospasm. , 1996, Annals of emergency medicine.

[4]  H. S. L. Moseley,et al.  Terminology and the current limitations of time capnography: A brief review , 1995, Journal of Clinical Monitoring.

[5]  M. A. Lambert,et al.  Capnography for monitoring non-intubated spontaneously breathing patients in an emergency room setting. , 1997, Journal of accident & emergency medicine.

[6]  B. Hjorth.  EEG analysis based on time domain properties. , 1970, Electroencephalography and clinical neurophysiology.

[7]  R. Peslin,et al.  Expiratory capnography in asthma: , 2002 .

[8]  Mia Folke,et al.  A new capnograph based on an electro acoustic sensor , 2007, Medical & Biological Engineering & Computing.