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Updated: Jul 13, 2026

Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea

Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

Analysed snoring sounds correlate to obstructive sleep disordered breathing.

Michael Herzog¹, Andreas Schmidt, Thomas Bremert

¹Department of Oto-Rhino-Laryngology, Head and Neck Surgery, Ernst-Moritz-Arndt University, Walther-Rathenau-Street 43-45, 17487, Greifswald, Germany. michael.herzog@uni-greifswald.de

European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

|August 8, 2007

Summary

Analyzing snoring sounds using frequency analysis can help differentiate sleep disordered breathing (SDB) severity. This acoustic method shows promise for diagnosing SDB patterns in snoring patients.

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Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea

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Published on: September 19, 2025

Area of Science:

Otolaryngology
Sleep Medicine
Acoustic Analysis

Background:

Snoring is a key symptom of sleep disordered breathing (SDB), but its precise cause and correlation with SDB severity remain unclear.
Previous research has not extensively investigated the relationship between specific snoring sound characteristics and SDB severity in large patient cohorts.

Purpose of the Study:

To record and analyze snoring sounds in patients with suspected SDB.
To correlate snoring sound characteristics with clinical and polysomnographical parameters.
To evaluate the diagnostic utility of acoustic analysis for differentiating SDB types.

Main Methods:

Sixty male patients with suspected SDB underwent clinical examination and polysomnography.
Snoring sounds were digitally recorded and analyzed using Fast Fourier Transformation (FFT).
Peak intensity of the snoring sound's power spectrum was determined and correlated with clinical and polysomnographical data.

Main Results:

Patients with primary snoring exhibited peak sound intensities between 100-300 Hz.
Patients diagnosed with obstructive sleep apnea syndrome (OSAS) showed peak intensities above 1,000 Hz.
Polysomnographical data (AHI, SpO2) and BMI correlated with snoring sound peak intensity, unlike clinical examination findings.

Conclusions:

Frequency analysis of snoring sounds is a valuable tool for distinguishing between different snoring patterns and associated SDB severity.
Acoustic analysis alone or with clinical examination is insufficient for precise topodiagnosis of snoring.
Acoustical analysis of snoring sounds offers a promising supplementary diagnostic method for verifying SDB types in snoring individuals.