+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

A simple procedure for quantitative and time coded detection of snoring sounds in apnea and snoring patients



A simple procedure for quantitative and time coded detection of snoring sounds in apnea and snoring patients



Laryngologie, Rhinologie, Otologie 67(9): 449-452



A simple technique for time-encoded recording of snoring sounds is presented. An electronic circuit connected to a stereo cassette recorder via cord remote control will start the recorder when the sound pressure of the snoring sound surpasses a preset level. The snoring sound is recorded on one track of the cassette recorder. The other track is used for the time code. Every 120 seconds the tape recorder is switched on by the electronic circuit and a short high level signal is recorded. The time interval between two time coding signals equals the snoring time. Analysis of the time coding signals is performed by an A/D converter installed in a Personal Computer. The converter amd accompanying software are used to calculate the duration of the intervals between the coding signals. The results are displayed graphically where sleeping time is plotted against snoring time (Fig.2). The length of each bar equals the snoring time in seconds for each 120 second interval. Snoring periods can be recognised at a glance and the snoring pattern can be evaluated. Three cases studies are presented demonstrating the performance of the technique. A 39-year-old female with nonpathological snoring (Fig.2), a 45-year-old male with heavy and regular snoring (Fig. 3) and a 36-year-old male with a full-blown Pickwickian Syndrome (Fig. 4). This patient's response to nasal cPAP is demonstrated in Fig. 5.

(PDF emailed within 1 workday: $29.90)

Accession: 039116748

Download citation: RISBibTeXText

PMID: 3172942


Related references

Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea. European Respiratory Journal 9(11): 2365-2370, 1996

A quantitative and time encoded technique to evaluate snoring sounds. Laryngologie Rhinologie Otologie 67(9): 449-452, 1988

Frequency analysis of snoring sounds during simulated and nocturnal snoring. European Archives of Oto-Rhino-Laryngology 265(12): 1553-1562, 2008

Snoring frequencies and site of origin of snoring sounds. Practica Otologica Kyoto (SUPPL 39): 1-31, 1990

Energy types of snoring sounds in patients with obstructive sleep apnea syndrome: a preliminary observation. Plos One 7(12): E53481, 2013

Radiocephalometric findings and duration of snoring in habitual snoring and obstructive apnea syndrome. Laryngo- Rhino- Otologie 68(3): 163-168, 1989

Snoring analysis for the screening of Sleep Apnea Hypopnea Syndrome with a single-channel device developed using polysomnographic and snoring databases. Conference Proceedings 2011: 8331-8333, 2012

Snoring sounds variability as a signature of obstructive sleep apnea. Medical Engineering and Physics 35(4): 479-485, 2013

Using psychoacoustics of snoring sounds to screen for obstructive sleep apnea. Conference Proceedings 2008: 1647-1650, 2009

Automatic snoring sounds detection from sleep sounds via multi-features analysis. Australasian Physical and Engineering Sciences in Medicine 40(1): 127-135, 2016

Spectral analysis of snoring sounds for the diagnosis of sleep apnea syndrome. European Archives of Oto-Rhino-Laryngology 257(2): 97-98, 2000

Pitch jump probability measures for the analysis of snoring sounds in apnea. Physiological Measurement 26(5): 779-798, 2005

The prevalence of allergic rhinitis in patients with simple snoring and obstructive sleep apnea syndrome. Kulak Burun Bogaz Ihtisas Dergisi 21(2): 70-75, 2011

Comparison of Psychiatric Symptoms in Patients With Obstructive Sleep Apnea, Simple Snoring, and Normal Controls. Psychosomatic Medicine 80(2): 193-199, 2017

Snoring detection using a piezo snoring sensor based on hidden Markov models. Physiological Measurement 34(5): N41-N49, 2013