SNOROSALAB: A Method Facilitating the Diagnosis of Sleep Breathing Disorders Before Polysomnography


IRBM, vol.43, no.4, pp.259-271, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 43 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.1016/j.irbm.2021.08.002
  • Journal Name: IRBM
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE
  • Page Numbers: pp.259-271
  • Keywords: Snoring, Signal analysis, Sleep electrophysiology, Diagnosis, OSAS, Feature extraction, SNORERS
  • Karadeniz Technical University Affiliated: Yes


© 2021 AGBMObjective: The aim of this study is to develop a new method that will facilitate the diagnosis of sleep breathing disorders (SBD; primary snoring and obstructive sleep apnea syndrome (OSAS)). Methods: In this study, we had 22 volunteers, 16 men and 6 women, having the complaint of snoring (Age; 49.2 ± 6.76 and Body Mass Index 42.6 ± 8.16); their diagnoses of OSAS and primary snoring were established with polysomnography (PSG). The number and severity of apnea episodes were compared between the classical method PSG and the new method SNOROSALAB. Results: As a result, no statistically significant differences could be found between the two methods (Paired Sample Test: p=0.78; Pearson Correlation Coefficient: 0.999⁎⁎⁎). After “Kolmogorov-Smirnov” analysis, “Mann-Whitney U” test was performed and we demonstrated that there was not any statistical difference between the two methods (Mann-Whitney U value: 224.5; p>0.05). When comparisons were made with Kohen's kappa criteria, the numbers of apnea identified by the two methods did not differ significantly (kappa value: −0.002; p>0.05). Conclusions: SNOROSALAB is a simple voice-recording device that does not have any cables attached and it is easy to use. It serves as a screening and diagnostic tool that attempts to detect individuals with suspected snoring and sleep apnea before they enter PSG at their homes.