Abstract
It has been suggested that, for patients with obstructive sleep apnea (OSA), identification of the obstruction site in the upper airway is essential in the treatment decision-making process. Due to the fact that all existing techniques for the identification of the obstruction site have drawbacks, there is a continuous search for more feasible methods. Because of the filtering effect of the upper airway on snoring sound, snoring sound parameters are considered as potential predictors of the obstruction site in the upper airway. According to previous studies, using snoring sound parameters to predict the presence of epiglottic obstruction in OSA patients with single-level obstruction can achieve a relatively high accuracy (53.1–96%) as compared with velum, oropharynx, and tongue base obstructions, even though the exact role of the epiglottis in generating snoring sound is still unclear. However, further studies are needed to explore the possibility to predict the presence of epiglottic obstruction in OSA patients with multilevel obstruction based on the acoustic analysis of snoring sound, especially of snoring sound recorded during natural sleep. At this stage, snoring sound analysis does not seem to be a viable diagnostic modality for treatment selection.
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Huang, Z., Lobbezoo, F., Aarab, G., de Vries, N., Hilgevoord, A.A.J. (2023). Acoustic Analysis. In: Delakorda, M., de Vries, N. (eds) The Role of Epiglottis in Obstructive Sleep Apnea. Springer, Cham. https://doi.org/10.1007/978-3-031-34992-8_10
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