Real-Timely Decrease of Snoring in Patients with Severe Degree of Obstructive Sleep Apnea Syndrome Using SNORAP

Abstract

The decrease and/or removal of snoring complaint, a significant social and familial health problem, is an important medical issue that needs to be solved interdisciplinary for sleep medicine. Surgical techniques and technological studies related to this topic have been mentioned in a few articles. SNORAP, developed by Yağanoğlu et al (2017), is a wearable device that operates just by the application of vibration to the patient. SNORAP is a device designed to improve the sleep health of snoring patients especially with Sleep Disordered Breathing (SDB). In this study, the detection of snoring sound at patients with severe degree obstructive sleep apnea syndrome (OSAS), and the effect of SNORAP device on snoring sound in these patient group were investigated. SNORAP consists of Raspberry Pi, Grove, microphone, vibration motor and screen. It uses the SNORAP audio fingerprint (AF) method to detect the snoring sound. AF is a short digital summary of the quick index and audio object that can be used to introduce the short and unlabeled part of the audio signal to correspondences at audio database, and similar elements. First of all, SNORAP performs sampling by receiving audio data with a microphone. Secondly, spectrograms are obtained from the audio data. Thirdly, peak points are found, and the summarization of fingerprint is created. Finally, SNORAP detects whether this is a snoring sound or other sounds, through database. SNORAP was applied to 2 voluntary patients (male, mean age: 49, body mass index average: 27.5) diagnosed with severe OSAS in company with polysomnography (PSG). The experimental protocol was performed in the form of a night sleep test to the volunteers, by using and without using SNORAP, with a week interval, in a sleep and electrophysiology laboratory under the supervision of the responsible physicians and technicians. The resulting data were analyzed by a sleep medicine physician, in accordance with the 2007 American Academy of Sleep Medicine (ASSM) criteria. PSG, known as a night sleep test, has sensors that measure body systems for all purpose. This study was conducted especially on the basis of snoring sensor of PSG.Patients who diagnosed as severe OSAS, accepted to sleep laboratory two times for a night-sleep test, first with SNORAP, later without SNORAP. The snoring parameters of the first volunteer patient whose number of snoring 716/night and average amplitude of snoring 50 µV before using SNORAP was high, decreased after using SNORAP (number of snoring: 98/night, average amplitude of snoring: 3,52 µV). The snoring parameters of the second volunteer patient whose number of snoring 1738/night and average amplitude of snoring: 62,5 µV before using SNORAP was high, decreased after using SNORAP (number of snoring: 81/night, average amplitude of snoring: 1,40 µV).

Keywords

• Snoring,SNORAP,Severe Degree Obstructive Sleep Apnea Syndrome,Audio Fingerprint,Wearable Processing

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