Relationship of respiratory sounds to alterations in the upper airway resistance

Respiratory sound analysis is a simple and noninvasive way to study the pathophysiology of the upper airway (UA). Recently, it has been used to diagnose partial or complete UA collapse in patients with obstructive sleep apnea (OSA). In this study, we investigated whether uid accumulation in the neck alters the properties of respiratory sounds in temporal and spectral domains and whether the respiratory sounds analysis can be used to monitor variations in the physiology of the UA, as re ected by UA resistance (RUA). We recorded respiratory sounds and RUA from 19 individuals while awake. We applied lower body positive pressure (LBPP) to shift uid out of the legs and into the neck, which increased RUA. We calculated !rst and second formants and energy of inspiratory sound segments. Our results show that during both control (no LBPP) and LBPP arms of the study, the extracted features were different for the sound segments corresponding to low and high RUA. Also, the features were different during control and LBPP arms of the study. With the application of support vector machine (SVM) based classi!er, we were able to classify the sound segments into two groups of high/low resistance during control and LBPP arms and into two groups of control/LBPP when including all sound segments. The accuracies of non-linear SVM classi!er were 74.5 ± 19.5%, 75.0 ± 15.4% and 77.1 ± 12.3% for the control arm, LBPP arm and between the arms, respectively. We also showed that during the LBPP arm, the variations in !rst formant of the sound segments corresponding to low and high RUA was much less than during the control arm. This indicates that with application of LBPP and accumulation of uid in the neck, there are less variations in the morphology of the UA in response to changes in RUA, than during the control arm. These results indicate that acoustic analysis of respiratory sounds can be used to investigate physiology of the UA and how interventions can alter UA properties.