• Sleep Medicine and Psychophysiology
• /
• v.7 no.2
• /
• pp.115-119
• /
• 2000

Objectives Summary: A 20-year-old man was presented with a history of difficult waking for 10 years. He suffered from morning headache, chronic fatigue and mild daytime sleepiness but had no history of irresistible sleep attack, cataplexy, hypnagogic hallucination or sleep paralysis. Methods: Night polysomnography (PSG), multiple sleep latency test (MSLT) and HLA-typing were carried out. Results: The PSG showed short sleep latency (4.0 min) and REM latency (2.5 min), increased arousal index (15.7/hour), periodic limb movements during sleep (PLMS index=8.1/hr) with movement arousal index 2.1/hr and normal sleep efficiency (97.5%). The MSLT revealed normal sleep latency (15 min 21 sec) and 4 times sleep-onset REM (SOREM). HLA-typing showed DQ6- positive, that corresponded at the genomic level to the subregion DQB1*0601, which was different from the usual locus in narcolepsy patients (DQB1*0602 and DQA1*0102). Conclusion: Differential diagnosis should be made with circadian rhythm disorder and other causes of primary waking disorder. The possibility of a variant type of narcolepsy could be suggested with an unusual clinical manifestation and a new genetic marker.

• Tuberculosis and Respiratory Diseases
• /
• v.56 no.4
• /
• pp.364-373
• /
• 2004

Background : Obstructive sleep apnea is a contributory factor of hypertension, arrhythmia, ischemic heart disease and other cardiovascular diseases. However, the pathophysiology underlying this relationship is unclear. Recent reports have shown that the soluble intercellular adhesion molecule-1(sICAM-1) and vascular endothelial growth factor(VEGF) are involved in the initiation and progression of atherosclerosis, and some reports state that increased levels of these cytokines are found in patients with obstructive sleep apnea. In this study, the levels of sICAM-1 and VEGF were measured in patients with obstructive sleep apnea in order to determine if obstructive sleep apnea is involved in the pathophysiology of cardiovascular diseases. Methods : Thirty-seven patients were chosen amongst a population who visited the Sleep Disorders Clinic of St. Paul's Hospital in Seoul, Korea for a diagnosis of obstructive sleep apnea and who had subsequently undergone an overnight polysomnography at the clinic. The sera from these patients were retrieved after an overnight polysomnography session and the samples were kept at $-70^{\circ}C$. The cytokine levels were determined with ELISA and the relationships between the serum levels of sICAM-1 and VEGF along with polysomnography parameters were analyzed. Results : No statistically significant correlation was observed between the sICAM-1 levels and the apnea-hypopnea index(r=0.27, P>0.05). Positive correlations were found between the apnea-hypopnea index and serum VEGF levels (r=0.50, P<0.01), the apnea index and the serum sICAM-1 levels (r=0.31, P<0.01), and the apnea index and the serum VEGF levels (r=0.45, P<0.01). Conclusions : Obstructive apnea or hypopnea leads to an increase in the sICAM-1 and VEGF levels. Such an increase in the cytokine levels most likely leads to the higher incidence of cardiovascular diseases observed in patients with obstructive sleep apnea.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.42 no.1
• /
• pp.214-217
• /
• 2017

In this paper, we propose a sleep efficiency measurement algorithm based on IR-UWB radar sensor in distance. Among the vital signs which can be measured by the IR-UWB radar sensor such as breathing rate, heartbeat rate, and movement, we analyzed correlation between the movement and the sleep efficiency, and based on the result, we propose a sleep efficiency measurement algorithm. In order to verify the performance of the proposed algorithm, we applied the algorithm to three polysomnography patients in hospitals and obtained the performance of an average absolute error within 3.9%.

• Sleep Medicine and Psychophysiology
• /
• v.4 no.2
• /
• pp.147-155
• /
• 1997

To assess the reliability of chronobiological models of sleep/wake regulation, it is necerssary that the models predict the data which has been studied in sleep research, and they should be generalized across all ages. To date, many adult human data on such models have accumulated, yet it is evident that a comprehensive theory of the biorhythmic aspects of sleep/wake states has not established. Circadian rhythms such as the time going to bed, sleep onset, slow wave sleep pressure, periodicity of REM sleep, daytime performance, and early evening alertness are resumed everyday. Even in adult humans, sleep is inherently polyphasic. In both the disentrained and entrained states, naps when allowed tend to recur in a temporally lawful manner. The monophasic sleep pattern of most industrial societies therefore appears to be purely of social origin. The endogenous biorhythmic nature of circasemidian sleep tendency is supported by the ubiquity of the phenomenon across all ages. The NREM/REM sleep cycle within sleep with its inherent physiological, endocrine, and neurochemical fluctuations represents the best-documented ultradian sleep rhythms. Also, a daytime ultradian variation in sleepiness with a periodicity similar to nocturnal NREM/REM cycle(BRAC hypothesis) is suggested. This review article provides a brief synoptic review of the evidences for circadian, circasemidian, and ultradian sleep/wake rhythms, and then the authour will suggest the issues which expedite fuller modeling of sleep/wake system, to be further discussed.

• Sleep Medicine and Psychophysiology
• /
• v.3 no.1
• /
• pp.31-37
• /
• 1996

Uvulopalatopharyngoplasty(UPPP) is an operation that is frequently performed for the patient of obstructive sleep apnea(OSA). A major problem has been to select those patients who will have a good response to UPPP. We compared preoperative and postoperative polysomnography(PSG) in 20 patients to evaluate the success rate of the operation. Each subject underwent a cephalometric roentgenogram, and fiberoptic nasopharyngoscopy with Mueller maneuver was applied in roentgenogram and fiberoptic nasopharyngoscopy with Mueller maneuver was applied in preop evaluation of patients with OSA. No PSG parameter could accurately predict the changes in sleep after UPPP. There were no significant differences between the responders and the nonresponders concerning the cephalometric analysis, the type of obstruction by Mueller maneuver, and body mass index(BMI). The conclusions of this study are thus that UPPP is an effective treatment for the OSAS with a high success rate, but that there is no single useful parameter predicting the success of the operation.

• Sleep Medicine and Psychophysiology
• /
• v.18 no.1
• /
• pp.29-34
• /
• 2011

Objectives: The purposes of this study were to estimate the effect of mandibular advancement device (MAD) and to evaluate the influence of the advancement amount of mandible in the application of MAD for obstructive sleep apnea (OSA) patients. Methods: From the patients who were diagnosed as OSA by polysomnographic study at Seoul National University Bundang Hospital from January 2007 to February 2009, the patients who chose MAD as treatment option were included in this study. All the patients’ data including clinical records and polysomnographic studies (both pre- and post-treatment) were reviewed and analyzed. Results: Successful results were obtained in 65 patients of 86 patients (75.6%). In the follow-up period, mild discomfort of anterior teeth or temporomandibular joint (TMJ) were described in 28 patients, especially in the cases the amount of mandibular advancement were more than 7.0 mm. There was no direct relationship between the amount of mandibular advancement and clinical outcome. Conclusion: MAD was effective treatment option for the OSA patients regardless of severity. For the prevention of potential dental complications, the amount of mandibular advancement should be considered at the time of MAD treatment.

• Sleep Medicine and Psychophysiology
• /
• v.18 no.2
• /
• pp.76-81
• /
• 2011

Objectives: This study aims to analyze the association between the severity of sleep apnea, sleep and mood related scales, and activity during sleep in obstructive sleep apnea syndrome (OSAS) patients. Methods: 176 drug-free male patients confirmed as OSAS (average age=$43{\pm}11$ years) were selected through nocturnal polysomnography (NPSG). OSAS was diagnosed with apnea-hypopnea index (AHI) >5, mean AHI was $39.6{\pm}26.0$. Sleep related scales were Stanford Sleepiness Scale (SSS), Epworth Sleepiness Scale (ESS), Pittsburg Sleep Quality Index (PSQI) and Morningness-Eveningness Scale (MES). Mood related scales were Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), State-Trait Anxiety Inventory (STAI) I, II and Profile of Mood States (POMS). NPSG was performed overnight with both wrist actigraphy (WATG). Parameters produced from WATG were total activity score, mean activity score and fragmentation index. We analyzed the correlation between each scale, AHI scored from NPSG and activity score analyzed from WATG. Results: ESS showed significant positive correlation with PSQI, BDI, BAI and STAI I, II, respectively (p<0.01). SSS showed significant positive correlation with PSQI and BAI (p<0.05, p<0.01). BAI showed significant positive correlation with total activity score, mean activity score and fragmentation index (p<0.05, p<0.01, p<0.05).Total activity score showed significant positive correlation with ESS and BAI, respectively (p<0.05). Fragmentation index showed significant positive correlation with ESS, PSQI and BAI (p<0.05, p<0.01, p<0.05). AHI, indicator of sleep apnea is showed no significant correlation with each sleep and mood related scale. Conclusion: The degree of daytime sleepiness tends to be associated with night sleep satisfaction, depression and anxiety, and the activity during sleep rather than the severity of sleep apnea.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1999.11a
• /
• pp.38-42
• /
• 1999

문명의 발달과 함께 인간은 사회생활의 증가와 부족한 수면으로 인한 스트레스와 병이 증가하고 있다. 따라서 수면에 대한 관심이 증가하면서 편안하고 쾌적한 수면을 위한 수면환경에 대한 연구가 진행되어지고 있다. 본 연구는 쾌적한 온열환경 제시를 위한 방법으로서 여름철 실내환경이 수면에 미치는 영향을 알아보기 위해 22$^{\circ}C$, 26$^{\circ}C$, 3$0^{\circ}C$의 3가지 온도조건을 제시하고 5명의 피험자를 대상으로 수면다원검사를 실시하여 EEG, EOG, ECG, EMG 등의 생리신호를 측정하였다. 측정된 생리신호를 통해 수면단계분석과 수면효율을 분석한 결과 총 수면시간, SWS latency, 총 수면시간에 대한 SWS 시간의 비율이 26$^{\circ}C$의 조건에서 가장 좋은 결과를 나타내었으며, 22$^{\circ}C$, 3$0^{\circ}C$의 순서로 나타났다. 이러한 분석을 통해 온도차에 따라 수면상태가 달라짐을 관찰할 수 있었고, 여름철에 26$^{\circ}C$ 정도의 실내온도가 편안하고 쾌적한 수면을 위한 실내온열환경임을 알 수 있었다.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.120-128
• /
• 2019

Purpose: This study is a retrospective descriptive study to investigate the factors affecting sleep quality of Obstructive Sleep Apnea (OSA) patients. Methods: Data were collected from questionnaires and electronic medical records of 176 patients with obstructive sleep apnea were reviewed from 2017 to 2018. The collected data was analyzed into descriptive statistics, t-test, Pearson's correlation, and multiple regression analysis. Results: The mean age of the subjects was 49.37 years and 94.4%(n=166) had low sleep quality. The quality of sleep of the OSA patients had correlations with daytime sleepiness, and depression. The significant factors influencing quality of sleep were Gender(${\beta}=.18$, p<.004), depression(${\beta}=.50$, p<.001), dry mouth (${\beta}=.15$, p<.016), Headache(${\beta}=.17$, p<.008), explained 37.1% of the variance. Conclusion: To improve their sleep quality, required for OSA patients who have the depression, daytime sleepiness.

• Journal of IKEEE
• /
• v.23 no.4
• /
• pp.1273-1279
• /
• 2019

Though sleep polysomnography (PSG) is considered as a golden rule for medical diagnosis of sleep disorder, it is essential to find alternative diagnosis methods due to its cost and time constraints. Recently, as the popularity of wearable health devices, there are many research trials to replace conventional actigraphy to consumer grade devices. However, these devices are very limited in their use due to the accessibility of the data and algorithms. In this paper, we showed the predictive model for sleep stages classified by American Academy of Sleep Medicine (AASM) standard and we proposed the estimation of sleep cycle by comparing sensor data and power spectrums of δ wave and θ wave. The sleep stage prediction for 31 subjects showed an accuracy of 85.26%. Also, we showed the possibility that proposed algorithm can find the sleep cycle of REM sleep and NREM sleep.