Title :
Detailed analysis of the relationship between tracheal breath sounds and airflow in relation to OSA during wake and sleep
Author :
Yadollahi, A. ; Moussavi, Z.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Tracheal respiratory sound analysis is a simple, inexpensive and non-invasive way to study the pathology of the upper airways. Recently, it has attracted considerable attention for acoustical flow estimation and investigation of obstruction in the upper airways. Obstructive sleep apena (OSA) is characterized by periods of reduction or complete cessation of airflow during sleep. However, the flow-sound relationship is highly variable among OSA and non-OSA individuals; it also changes for the same person at different body postures and during wake and sleep. In this study we recorded respiratory sound and flow from 93 non-OSA individuals as well as 13 OSA patients during sleep and wake. We investigated the statistical correlation between the flow-sound model parameters and anthropometric features in the non-OSA group. The results have shown that gender, height and smoking are the most significant factors that affect the model parameters. We compared the flow-sound relationship in OSA and non-OSA groups in the sitting position while awake. We also examined the variations in the model parameters in OSA patients during sleep and wake in the recumbent position. The results show that the model parameters are different in the two groups even when accounted for height, gender and position. In OSA group, the model parameters change from wake to sleep, even at the same position. The variations in the model parameters can be used to investigate the characteristics of upper airways and examine the factors that can lead to the upper airways obstruction during sleep.
Keywords :
medical disorders; pneumodynamics; sleep; OSA patients; acoustical flow estimation; airflow; flow sound model parameters; obstructive sleep apena; statistical correlation; tracheal breath sounds; tracheal respiratory sound analysis; upper airway pathology; Atmospheric modeling; Brain modeling; Educational institutions; Electron tubes; Estimation; Sleep apnea; Acoustics; Adult; Anthropometry; Female; Humans; Kinetics; Male; Middle Aged; Models, Statistical; Polysomnography; Respiration; Respiratory Sounds; Signal Processing, Computer-Assisted; Sleep; Sleep Apnea Syndromes; Sleep Apnea, Obstructive; Smoking; Trachea; Wakefulness;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091676