DocumentCode :
2927181
Title :
Approximate entropy as a measure of the airflow pattern complexity in asthma
Author :
Veiga, Juliana ; Faria, Renan C P ; Esteves, Guilherme P. ; Lopes, Agnaldo J. ; Jansen, José M. ; Melo, Pedro L.
Author_Institution :
Biomed. Instrum. Lab., State Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
2463
Lastpage :
2466
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.
Keywords :
entropy; medical disorders; patient diagnosis; pattern formation; physiology; pneumodynamics; ApEnQ; airflow pattern complexity; approximate entropy method; asthma; breathing; daily life activities; elevated airway obstruction; illness; normal spirometric exam; pathophysiological fundamentals; respiratory mechanics; Biomedical measurements; Complexity theory; Correlation; Diseases; Entropy; Respiratory system; Time series analysis; Adult; Air Movements; Asthma; Case-Control Studies; Humans; Middle Aged; Models, Biological; Respiration; Respiratory Function Tests; Respiratory Mechanics; Respiratory System; Spirometry; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626547
Filename :
5626547
Link To Document :
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