Acoustic signal as a carrier of information on breathing sleep disorders

• Autorzy: Górnicka Dorota , Klekot Grzegorz , Michalik Michał
• Języki publikacji: EN

Abstrakty

EN

The statement that an acoustic signal can be a good tool for assessing breathing during sleep is not revealing and certainly raises no doubts. Based on the experience of technical diagnostics, one can formulate the hypothesis about the suitability of sounds accompanying breathing to infer any specific disorders. The verification of this hypothesis was supported by a research experiment combining the experience of doctors and engineers. The obtained results was used to create the simple application for the initial diagnosis of respiratory problems while sleeping at home. Assuming the minimization of the use of an advanced mathematical apparatus, features that are the symptoms of basic respiratory disorders have been extracted from the signal. Thanks to this approach, the developed tool not only informs about the disorder, but also signals the potential cause of the problem. Thus, the inference procedure that is the basis of a useful application can also support doctors at the stage of preclinical diagnosis.

Słowa kluczowe

EN

acoustic signal; diagnosis of sleep breathing disorders

PL

sygnał akustyczny; diagnostyka zaburzeń oddychania podczas snu

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2019
• Tom: Vol. 30, nr 2
• Strony: art. no. 2019215
• Opis fizyczny: Bibliogr. 7 poz., wykr.

Twórcy

autor

Górnicka Dorota

• Institute of Machine Design Fundamentals, Warsaw University of Technology, ul. Narbutta 84, 02-524 Warsaw, Poland

autor

Klekot Grzegorz

• Institute of Machine Design Fundamentals, Warsaw University of Technology, ul. Narbutta 84, 02-524 Warsaw, Poland

autor

Michalik Michał

• Faculty of Sleep Apnea and Soring, MML Medical Center, ul. Bagno 2, 00-112 Warszawa, Poland

Bibliografia

• 1. M. Michalik, M. Wiśniewski, Sleep apnea, [in Polish:] Bezdech senny, Medical Tribune Stomatologia, 11 (2009).
• 2. M. Michalik, M. Wiśniewski, Treatment of Obstructive Sleep Apnea Syndrome, [in Polish:] Leczenie OSAS, Medical Tribune Stomatologia, 12 (2009).
• 3. A. Levartovsky, E. Eliran Dafna, Y. Zigel, A. Tarasiuk, Breathing and snoring sound characteristics during sleep in adults, Journal of Clinical Sleep Medicine, 12/3 (2016) 375 – 384.
• 4. C. Janott, B. Schuller, C. Heiser, Acoustic information from snoring sounds, HNO, 2 (2017) 107 – 116.
• 5. D. Pevernagie, R. M. Aarts, M. De Meyer, The acoustics of snoring, Sleep Medicine Reviews, 14/2 (2010) 131 – 144.
• 6. W. Wszołek, M. Kłaczyński, Comparative study of the selected methods of laryngeal tone determination, Archives of Acoustics, 31/4 (2006) 219 – 226.
• 7. D. Górnicka, G. Klekot, M. Michalik, Examinations of acoustic signals of patients having snoring problem, Journal of Vibroengineering, 19/7 (2017) 5553 – 5559.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).