• Title/Summary/Keyword: Snoring

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Snoring Sound Classification using Efficient Spectral Features and SVM for Smart Pillow (스마트 베개를 위한 효율적인 스펙트럼 특징과 SVM을 이용한 코골이 판별 방법)

  • Kim, Byeong Man;Moon, Chang Bae
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.2
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    • pp.11-18
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    • 2018
  • Severe snoring can lead to OSA(Obstructive Sleep Apnea), which can lead to life-threatening cases, and snoring can lead to serious pernicious relationships. In order to solve these snoring problems, several types of smart pillows have recently been released. The core technology is snoring discrimination technology, ie, a technique for determining whether snoring is included in the input sound. In this paper, we propose a snoring detection method to apply to a smart pillow. After extracting the features of the snoring sound from the input signal, we discriminate the snoring using these features and SVM. In order to measure the performance of the proposed method, comparative experiments with the existing methods are performed. The experimental results show about 6% better discrimination performance than the existing method.

A Study on the Prevalence of Snoring (코골이 유병률에 관한 연구)

  • 정은희;기우천
    • Journal of Oral Medicine and Pain
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    • v.22 no.1
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    • pp.157-165
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    • 1997
  • This study was carried out to examine the correlationship among incidence, frequency, loudness, and the related predisposing factors about snoring through epidemiologic investigations. Questionaires were used for a clinic-visitor who is irrelevant to snoring, and investigated by sex, age, body mass index(below BMI), and occupation. The subjects were grouped by age; below twenties, twenties, thirties, forties, fifties, sixties, and over sixties. On using BMI, the subjects were divided into two groups; overweighed and non-overweighed group. And the occupation were simplified to two groups; physical labors and mental labors. An statistical analysis was perfomed about correlation to whether to snoring or not, its frequency, loudness and the related predisposing factors. The results were obtained as follows : 1. Snorers were commanded as 5.1% of all clinic-visitors. Male was dominant to female (p<0.01). The number of snorer was increased with age(p<0.05) and overweighed group showed higher incidence than in non-overweight group(p<0.01). 2. There was no significant difference between occupation groups in incidence of snoring. 3. In case of the frequency of snoring in snoring group, there was significant increase in male, overweighed and mental labors group(p<0.01). But, there was no difference with age. 4. In case of loudness of snoring in snoring group, male, overweihged and mental labors had louder noise than in other contrary group. But there was no difference with age. 5. For the related predisposing factors to snoring, fatigue was the highest(74.4%), and alcoho and drug were followed.

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How to Diagnose Obstructive Sleep Apnea Syndrome: From The Viewpoint of Medical and Dental Features (임상가를 위한 특집 2 - 어떻게 평가할 것인가? -의학적 및 치의학적 관점에서-)

  • Auh, Q-Schick
    • The Journal of the Korean dental association
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    • v.48 no.3
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    • pp.184-189
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    • 2010
  • Snoring is a very common sleep disorder. Approximate 20~30 percent of population and 40~60 percent of middle and old age population are reported to have symptoms of snoring. Snoring patients do not frequently recognize snoring until spouse or colleague has noticed. Hence, for most people snoring has been not a serious health issue but one of bad sleeping habits. However, it recently draws social attention because most patients with diagnosed "Obstructive Sleep Apnea Syndrome" cased by obstruction of the upper airway are reported snoring. In this point, the author attempts to review the clinical aspects and treatments about snoring and "Obstructive Sleep Apnea Syndrome" in the medical and dental perspective.

A Design of Snoring Detection System using Chaotic Signal

  • Choo, Yeon-Gyu
    • Journal of information and communication convergence engineering
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    • v.8 no.5
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    • pp.560-565
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    • 2010
  • In this study, the existence of chaotic characteristics in snoring signals obtained in the form of time series data was checked through quantitative and qualitative analysis methods, and a snoring signal detection system was designed applied with detection algorithms considering diverse parameters of occurring signals in order to enhance the accuracy and reliability of detections and the performance of the system was checked. The system was tested with certain snoring patients and thereby the results as follows could be obtained.

Sinusitis and Adenoid size is related to Snoring in children (코골이를 주소로 내원한 환자의 부비동염과 아데노이드 비후와의 관계)

  • Lee, Hai-Ja
    • The Journal of Pediatrics of Korean Medicine
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    • v.17 no.1
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    • pp.17-27
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    • 2003
  • Background: Snoring in children, is associated Kith adenotonsillar hypertrophy and sinusitis which contribute to upper airway obstruction, so we studied the sinusitis and adenoid size of snoring children with plain radiography Materials and method: Fifty patients having snoring, nasal obstruction in our hospital between November 2001 and November 2002 were studied using plain radiology PNS(water's view) and Neck lateral view(adenoid size with A/N ratio) Results: 1. In oriental medicine, Hu-Bi means laryngopharyngeal edema and obstruction, laryngopharyngeal disease are due to Hwa-Yeoul( fire and hot), sinus disease are due to Fung-Han(wind and cold) and Fung-Yeoul(wind and hot). 2. Age ranged from 2 to 17 year-old ( mean age: 6 years), 5-7 year-old were 18 patients (36%). Age of on set, 25 patients were 1-4 year-old (50%). 3. Of the 50 snoring patients, 37 patients were sinusitis(74%), 20 patients had enlarged adenoid(40%). Of the 20 large adenoid patients, 19 patients were sinusitis(95%). 4. Of the 50 snoring patients, size of tonsil were flowed. Fifteen were severe(3+), 17 patients were moderate(2+) and 15 patients were mild(1+). Of the 20 enlarged adenoid patients, size of tonsil flowed. Five were severe(3+), 11 patients were moderate(2+) and 4 patients were mild(1+). Conclusion : Of the 50 Snoring patients, 37 patients showed sinusitis(74%), 32 patients showed large tonsil(64%), 20 patients showed large adenoid(40%).

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Nasal Diseases and Its Impact on Sleep Apnea and Snoring (코질환과 수면무호흡증)

  • Kim, Chang-Hee;Rhee, Chae-Seo
    • Sleep Medicine and Psychophysiology
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    • v.11 no.1
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    • pp.17-21
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    • 2004
  • Nasal congestion is one of the most common symptoms of medical complaints. Snoring is caused by vibration of the uvula and the soft palate. Nasal obstruction may contribute not only to snoring and obstructive sleep apnea (OSA) but also impair application of continuous nasal positive airway pressure (CPAP), which is the most widely employed treatment for OSA. Total or near-total nasal obstruction leads to mouth breathing and has been shown to cause increased airway resistance. However, the exact role of the nasal airway in the pathogenesis of OSA is not clear and there is no consensus about the role of nasal obstruction in snoring and sleep apnea. Some reports have failed to demonstrate any correlation between snoring and nasal obstruction. On the other hand, opposing reports suggest that nasal disease may cause sleep disorders and that snoring can be improved after nasoseptal surgery. Reduced cross-sectional area causes increased nasal resistance and predisposes the patient to inspiratory collapse of the oropharynx, hypopharynx, or both. Discrete abnormalities of the nasal airway, such as septal deformities, nasal polyps, and choanal atresia and with certain mucosal conditions such as sinusitis, allergic rhinitis and inferior turbinate hypertrophy can cause snoring or OSA. Thus, these sources of nasal obstruction should be corrected medically or surgically for the effective management of OSA and adjunctive for CPAP.

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Snoring identification method based on residual convolutional neural network (잔류 합성 곱 신경망 기반의 코골이 식별 방식)

  • Shin, Seung-Su;Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.5
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    • pp.574-579
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    • 2019
  • Snoring is a typical symptom of sleep disorder and it is important to identify the occurrence of snoring because it causes sleep apnea. In this paper, we proposes a residual convolutional neural network as an efficient snoring identification algorithm. Residual convolutional neural network, which is a structure combining residual learning and convolutional neural network, effectively extracts features existing in data more than conventional neural network and improves the accuracy of snoring identification. Experimental results show that the performance of the proposed snoring algorithm is superior to that of the conventional methods.

The structural changes of pharyngeal airway contributing to snoring after orthognathic surgery in skeletal class III patients

  • Park, Jung-Eun;Bae, Seon-Hye;Choi, Young-Jun;Choi, Won-Cheul;Kim, Hye-Won;Lee, Ui-Lyong
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.39
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    • pp.22.1-22.9
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    • 2017
  • Background: Two-jaw surgery including mandibular and maxillary backward movement procedures are commonly performed to correct class III malocclusion. Bimaxillary surgery can reposition the maxillofacial bone together with soft tissue, such as the soft palate and the tongue base. We analyzed changes of pharyngeal airway narrowing to ascertain clinical correlations with the prevalence of snoring after two-jaw surgery. Methods: A prospective clinical study was designed including a survey on snoring and three-dimensional (3D) computed tomography (CT) in class III malocclusion subjects before and after bimaxillary surgery. We conducted an analysis on changes of the posterior pharyngeal space find out clinical correlations with the prevalence of snoring. Results: Among 67 subjects, 12 subjects complained about snoring 5 weeks after the surgical correction, and examining the 12 subjects after 6 months, 6 patients complained about the snoring. The current findings demonstrated the attenuation of the largest transverse width (LTW), anteroposterior length (APL), and cross-sectional area (CSA) following bimaxillary surgery given to class III malocclusion patients, particularly at the retropalatal level. The average distance of maxillary posterior movements were measured to be relatively higher (horizontal distance 3.9 mm, vertical distance 2.6 mm) in case of new snorers. Conclusions: This study found that bimaxillary surgery could lead to the narrowing of upper airway at the retropalatal or retroglossal level as well as triggering snoring in subjects with class III malocclusion. Based on the current clinical findings, we also found that upper airway narrowing at retropalatal level may contribute to increasing the probability of snoring and that polysonography may need to be performed before orthognathic surgery in subjects with class III malocclusion.

Snoring during Bronchoscopy with Moderate Sedation Is a Predictor of Obstructive Sleep Apnea

  • Cho, Jaeyoung;Choi, Sun Mi;Park, Young Sik;Lee, Chang-Hoon;Lee, Sang-Min;Lee, Jinwoo
    • Tuberculosis and Respiratory Diseases
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    • v.82 no.4
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    • pp.335-340
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    • 2019
  • Background: Snoring is the cardinal symptom of obstructive sleep apnea (OSA). Snoring and upper airway obstruction associated with major oxygen desaturation may occur in populations undergoing flexible bronchoscopy. Methods: To evaluate the prevalence of patients at a high risk of having OSA among patients undergoing bronchoscopy with sedation and to investigate whether snoring during the procedure predicts patients who are at risk of OSA, we prospectively enrolled 517 consecutive patients who underwent the procedure with moderate sedation. Patients exhibiting audible snoring for any duration during the procedure were considered snorers. The STOP-Bang (Snoring, Tiredness, Observed apnea, high blood Pressure-Body mass index, Age, Neck circumference and Gender) questionnaire was used to identify patients at high (score ${\geq}3$ out of 8) or low risk (score <3) of OSA. Results: Of the 517 patients, 165 (31.9%) snored during bronchoscopy under sedation. The prevalence of a STOP-Bang score ${\geq}3$ was 61.9% (320/517), whereas 200 of the 352 nonsnorers (56.8%) and 120 of the 165 snorers (72.7%) had a STOP-Bang score ${\geq}3$ (p=0.001). In multivariable analysis, snoring during bronchoscopy was significantly associated with a STOP-Bang score ${\geq}3$ after adjustment for the presence of diabetes mellitus, chronic obstructive pulmonary disease, chronic kidney disease, and stroke (adjusted odds ratio, 1.91; 95% confidence interval, 1.26-2.89; p=0.002). Conclusion: Two-thirds of patients undergoing bronchoscopy with moderate sedation were at risk of OSA based on the screening questionnaire. Snoring during bronchoscopy was highly predictive of patients at high risk of OSA.

Epidemiological Study and Cephalometric Features of Snoring(In the Young Adults) (코골이의 역학 및 측방두부규격방사선학적 특징에 관한 연구(청년층을 중심으로))

  • 김희광;정성창;김수용
    • Journal of Oral Medicine and Pain
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    • v.22 no.1
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    • pp.81-94
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    • 1997
  • The Purpose of this study were to examine the epidemiology of snoring, its associated factors and anatomic features on cephalogram according to the frequency of snoring in young adults. Epidemiological survey using questionaire was made to the 438 students (320 male, 118 female) aged 19 - 28 years, and cephalometric study of anatomic features on 14 habitual snorers, 31 occasional snorers and 30 non-snorers among men was done. The obtained results were as follows : 1. The prevalence snoring was 11.4% in the young adults, 15.0% in male and 1.7% female. 2. Of the young adults, 3.7% were habitual snorers and 7.8% were occasional snorers. 3. Smoking and drinking increased the frequency of snoring(p < 0.01), but didn't affec the differences in the frequency between habitual and occasional snoring. 4. No significant correlation was made between the frequency of snoring and the factors such as overweight, nasal disease and hypertension. 5. In the cephalometric comparison between snorers and non-snorers, snorers had inferiorly positioned hyoid bone(p < 0.05), longer soft palate(p < 0.01), steeper soft palate(p < 0.05) and narrower nasopharyngeal(p < 0.05) and oropharyngeal(p < 0.001) airway. 6. In the cephalometric comparison between habitual snorers and occasional snorers, habitual snorers had narrow nasopharyngeal airway(p < 0.05).

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