NDLI: Approximate entropy as a measure of the airflow pattern complexity in asthma

Content Provider	IEEE Xplore Digital Library
Author	Veiga, J. Faria, R.C.P. Esteves, G.P. Lopes, A.J. Jansen, J.M. Melo, P.L.
Copyright Year	2010
Description	Author affiliation: Biomedical Instrumentation Laboratory, State University of Rio de Janeiro, Brazil (Veiga, J.; Faria, R.C.P.; Esteves, G.P.; Melo, P.L.) \|\| Pulmonary Function Laboratory, Pedro Ernesto University Hospital, State University of Rio de Janeiro, Brazil (Lopes, A.J.; Jansen, J.M.)
Abstract	The scientific and clinical value of a measure of complexity is potentially enormous because complexity appears to be lost in the presence of illness. The changes introduced by asthma in respiratory mechanics and control of breathing may result in modifications in the airflow pattern. These changes may be interesting clinically, since they can reduce the ability of the patient to perform daily life activities. In this paper, we examine the effect of elevated airway obstruction on the complexity of the airflow pattern of asthmatic patients using the approximate entropy method (ApEnQ). This study involved 5 healthy and asthmatics with normal spirometric exam (5), mild (5), moderate (6) and severe (5) airway obstruction. A significant (p<0.002) reduction in ApEnQ was observed in asthmatic patients. This reduction was significantly correlated with spirometric indices of airway obstruction (R=0.60; p<0.001). These results are in close agreement with pathophysiological fundamentals, and suggest that in asthmatic patients the airflow pattern becomes less complex, which may reduce the adaptability of the respiratory system to perform exercise associated with daily life activities. Furthermore, our findings also suggest that ApEnQ may help the clinical evaluation of asthmatic patients.
Starting Page	2463
Ending Page	2466
File Size	378699
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626547
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Entropy Diseases Time series analysis Correlation Biomedical measurements Respiratory system
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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