• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.27-32
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• 2011

This paper presents a methodology for classifying sleep disturbance using electroencephalogram (EEG) signal at sleep stage 2 and principal component analysis. For extracting initial features, fast Fourier transforms(FFT) were carried out to remove some noise from EEG signal at sleep stage 2. In the second phase, we used principal component analysis to reduction from EEG signal that was removed some noise by FFT to 5 features. In the final phase, 5 features were used as inputs of NEWFM to get performance results. The proposed methodology shows that accuracy rate, specificity rate, and sensitivity were all 100%.

• Sleep Medicine and Psychophysiology
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• v.13 no.2
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• pp.45-51
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• 2006

Obstructive sleep apnea (OSA) syndrome disrupts normal sleep. However, there were few studies to evaluate the asymmetric distribution, the one of the important factors of normal sleep in OSA subjects. We hypothesized that asymmetry would be broken in OSA patients. 49 male subjects with the complaint of heavy snoring were studied with polysomnography. We divided them into two groups based on the apnea-hypopnea index (AHI) fifteen: 13 simple snoring group (SSN, average AHI $5.9{\pm}4.4$) and 32 OSA group (average AHI $47.3{\pm}23.9$). We compared split sleep variables between the first half and the second half of sleep within each group with paired t-test for the evaluation of asymmetry. Changes of sleep architecture of OSA were higher stage 1 sleep% (S1), total arousal index (TAI), AHI, and mean heart rate (HR) and lower stage 2 sleep% (S2), REM sleep%, and mean arterial O2 saturation (SaO2) than SSN subjects. SWS and wake time after sleep onset (WASO) were not different between two groups. In split-night analysis, OSA subjects showed higher S2, slow wave sleep% (SWS), spontaneous arousal index (SAI), and mean HR in the first half, and higher REM sleep% and mean SaO2 in the second half. Those were same pattern as in SSN subjects. Mean apnea duration and longest apnea duration were higher in the second half only in the OSA. No differences of AHI, ODI, WASO, and S1 were found between the first and the second half of sleep in both groups. TAI was higher in the first half only in the SSN. SWS and WASO seemed to be influenced sensitively by simple snoring as well as OSA. Unlike our hypothesis, asymmetric distributions of major sleep architecture variables were preserved in OSA group. Losing asymmetry of TAI might be related to pathophysiology of OSA. We need more studies that include large number of subjects in the future.

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

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.129-132
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• 2010

작금의 현대 사회 사람들은 바쁜 일상생활로 인해 짧아진 수면과 불면증 등의 각종 수면장애를 겪고 있으며, 여러 가지의 요소로 인하여 수면의 방해를 받게 되면, 여러 질병 및 생활 장애를 겪을 수 있어 수면의 중요성은 날로 주목받고 있다. 본 논문에서는 수면을 이루는 침실의 수면 환경 데이터를 수집하여 얻어진 조건 데이터들과 수면간의 관계를 분석하고 이를 바탕으로 시뮬레이션 모델을 추출하여 개개인에 따른 최적의 환경을 제공할 수 있다. 따라서 수면 과정에 따라 신체의 감각 및 자극에 대한 반응을 알고, 사람의 신체 상황에 따른 차이점 및 안정적인 패턴 및 조건을 정의하며 수면 패턴을 분석 및 솔루션 제공을 할 수 있다. 또한 차후에는 수면의 특정 상황만 아니라 식사, 출근, 등과 같은 유기적인 생활(유비쿼터스 환경)의 한 부분에도 상황에 따른 적절한 실내 환경 변화를 제공해주어서 좀 더 쾌적한 일상생활을 영위할 수 있도록 도움을 주게 되는 측면으로 확대 하려한다.

• Science of Emotion and Sensibility
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• v.3 no.2
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• pp.75-84
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• 2000

문명의 발달과 함께 수면부족으로 인한 여러 가지 스트레스와 질환이 증가하게 되어 최근 수면연구에 대한 관심이 증가하고 있다. 본 연구는 다양한 온열환경 조건에서의 쾌적한 수면을 위한 온열환경을 제시하기 위해, 5명의 여성 피험자를 대상으로 22$^{\circ}C$, 26$^{\circ}C$, 3$0^{\circ}C$의 일정온도 조건과 $25^{\circ}C$에서 1시간 후와 2시간 후에 각각 1, 2$^{\circ}C$를 상승시켜주는 변동온도 조건하에서 수면생리신호를 측정하였다. 그리고, 수면단계 평가를 이용하여 총 수면시간, 깊은 수면의 비율, 그리고 최초 수면시작 시간에서 최초의 서파 수면이 나타나기까지의 지연시간 등의 수면효율을 평가하였다. 그 결과, 일정온도 조건에서는 26$^{\circ}C$에서 총 수면시간(466.7$\pm$10.25분)과 깊은 수면의 비율(33.1$\pm$4.95%)은 타 조건에 비해 높게 나타났고, 최초 서파수면까지의 지연시간(9.8$\pm$3.33분)은 타 조건에 비해 낮게 나타나 쾌적한 수면을 위한 가장 적절한 온열조건임을 관찰할 수 있었다. 그리고 변동온도 조건에서는 4가지 온열조건간에는 큰 차이가 나타나지 않았지만, 모든 조건에서 일정온도 조건보다는 좋은 결과를 나타내었다. 또한 수면 중 신체 움직임과 설문 분석에서도 동일한 결과를 보였다. 본 연구를 통해, 수면생리신호를 이용한 수면 쾌적성 분석은 수면의 질적인 상태를 관찰하는데 매우 적합한 파라메터를 도출할 수 있으며, 여러 가지 수면환경 조건을 평가하는데 매우 유용한 지표가 될 수 있음을 보였다.e results suggest that hCG treatment at 7 days after insemination could be used to increase the pregnancy rate of embryo transfer, and transfer, and only the recipients with PUN concentration of <12 mg/dl were influenced by treatment with hCG./TEX>이었으며, 이는 화성 기원을 지시한다.sucrose를 이용한 2단계 희석이 수정란의 생존성을 향상시키는 것으로 나타났다. 또한 발육 단계별 생존성에 있어서는 발육이 진전된 확장배 반포 시에 동결하는 것이 배반포기에 동결하는 것 보다 유리한 것으로 나타났다.ody를 사용하여 flow cytometery해석을 실시하는 한편 125I-hGH binding assay에 의하여 hGH binding activity를 측정하였다. 최종적으로 GH signal transduction의 target genedf으로 알려져 있는 serine protease inhibitor 2.1(Spi 2.1) gene의 promotor activity를 검토한 결과 hGHR을 transfect한 CHO Cell에 있어서 hGH의 농도에 의존적으로 증가되었다. 따라서 본 실험에서 cloning한 cDNA hGHR는 native hGHR와 같은 기능을 가지는 것으로 판명되었다.것으로 판명되었다..ments of that period left both in Japan and Korea. "Hyojedo" in Korea is supposed to have been influenced by the letter design. Asite- is also considered to

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.207-216
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• 2013

The aim of this study is to design a classifier for sleep stage analysis and select important feature set which shows sleep stage well based on physiological signals during sleep. Sleep has a significant effect on the quality of human life. When people undergo lack of sleep or sleep-related disease, they are likely to reduced concentration and cognitive impairment affects, etc. Therefore, there are a lot of research to analyze sleep stage. In this study, after acquisition physiological signals during sleep, we do pre-processing such as filtering for extracting features. The features are used input for the new combination algorithm using genetic algorithm(GA) and neural networks(NN). The algorithm selects features which have high weights to classify sleep stage. As the result of this study, accuracy of the algorithm is up to 90.26% with electroencephalography(EEG) signal and electrocardiography(ECG) signal, and selecting features are alpha and delta frequency band power of EEG signal and standard deviation of all normal RR intervals(SDNN) of ECG signal. We checked the selected features are well shown that they have important information to classify sleep stage as doing repeating the algorithm. This research could use for not only diagnose disease related to sleep but also make a guideline of sleep stage analysis.

• Sleep Medicine and Psychophysiology
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• v.15 no.1
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• pp.25-32
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• 2008

Objectives: A few studies have compared REM sleep-dependent obstructive sleep apnea syndrome (REM-OSA) with sleep stage non-dependent apnea syndrome (SND-OSA). Despite that REM-OSA might be more common in women than men, no studies have examined the probable characteristics of women patients with obstructive sleep apnea syndrome (OSAS). This study aimed at finding out the characteristics of REM-OSA in women by comparing it with SND-OSA. Methods: Fifty-three subjects diagnosed as OSAS (AHI>5 ; AHI : apnea-hypopnea index) with nocturnal polysomnography at the Center for Sleep and Chronobiology of the Seoul National University Hospital between October 2004 and February 2006 were studied. Of them, 44 subjects with OSAS severity of mild (52 and AHI-NR<15 (AHI-R : AHI during REM sleep, AHI-NR : AHI during non-REM sleep). We compared REM-OSA group with SND-OSA as well as the criteria-determined REM-OSA cases with the visually-determined ones. Results: Among 44 subjects, 28 persons (63.6%) turned out to have REM-OSA by our criteria and 24 persons (54.5%) by visual determination. Statistically significant differences (p<0.05) were found between REM-OSA and SND-OSA groups in AHI, hypopnea index, total sleep time, total wake time, sleep efficiency index, percents of stage 1, 2 and REM sleep, and REM latency. Percent of stage REM sleep (%REM) turned out to have influence on AHI ratio (AHI-R/AHI-NR) (B=0.537, p=0.002). REM-OSA was likely to be diagnosed in milder severity of OSAS (${\chi}^2=13.117$, p<0.001) and those with higher %REM (${\chi}^2=11.325$, p=0.001). There was no significant difference between the criteria-determined and the visually-determined cases of REM-OSA. Conclusion: We suggest that REM-OSA and SND-OSA patients be differentiated in terms of pathophysiology and treatment strategies. Visual determination of REM-OSA might be useful as the screening procedure of REM-OSA. Further studies on women with OSAS and REM-OSA need to be done.

• Sleep Medicine and Psychophysiology
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• v.7 no.1
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• pp.43-50
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• 2000

Objectives: Obstructive sleep apnea syndrome(OSAS) is known to be associated with the changes of autonomic nervous system (ANS). Nasal continuous positive airway pressure(nCPAP) treatment was found to correct abnormal ANS changes in OSAS but it remains to be further clarified. We aimed to assess the effects of nCPAP on ANS manifested on electrocardiogram, using spectrum analysis in the subjects with OSAS. Methods: Digital polysomnography was performed in 18 patients with OSAS(mean age $43.7{\pm}16.6$ years ; 17 males, 1 female ; mean respiratory disturbance index (RDI) $48.6{\pm}20.9$) for one baseline and another CPAP nights. From each night, 300 continuous beats of ECGs without artifact were chosen from both stage 2 sleep and REM sleep and they were used for power spectrum analysis. We compared between baseline and CPAP nights the heart rate variability including VLF(very low frequency power), LF (low frequency power), HF(high frequency power), R-R means, R-R variance, and LF/HF ratio, using Wilcoxon signed ranks test. Results: In all patients, nCPAP proved to be effective in relieving apneas and snoring. During nCPAP night compared with baseline night, decreases in VLF(p<0.05), LF(p<0.01), and R-R variance(p<0.05) were found in stage 2 sleep, and decreased LF(p<0.05) was found in REM sleep. No significant differences in each sleep stage were found in other variables between the two nights. Conclusion: Our findings suggest that OSAS increases the activity of sympathetic nervous system and nCPAP application effectively decreases the activity. And nCPAP does not appear to influence the parasympathetic nervous activity in OSAS.

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

• Sleep Medicine and Psychophysiology
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• v.17 no.1
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• pp.41-49
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• 2010

Unlike the case of adult obstructive sleep apnea syndrome (OSAS), there was no consistent finding on the changes of sleep architecture in childhood OSAS. Further understanding of the sleep electroencephalogram (EEG) should be needed. Non-linear analysis of EEG is particularly useful in giving us a new perspective and in understanding the brain system. The objective of the current study is to compare the sleep architecture and the scaling exponent (${\alpha}$) from detrended fluctuation analysis (DFA) on sleep EEG between OSAS and normal children. Fifteen normal children (8 boys/7 girls, 6.0${\pm}4.3$2.2 years old) and twelve OSAS children (10 boys/2 girls, 6.4${\pm}4.3$3.4 years old) were studied with polysomnography (PSG). Sleep-related variables and OSAS severity indices were obtained. Scaling exponent of DFA were calculated from the EEG channels (C3/A2, C4/A1, O1/A2, and O2/A1), and compared between normal and OSAS children. No difference in sleep architecture was found between OSAS and normal controls except stage 1 sleep (%) and REM sleep latency (min). Stage 1 sleep (%) was significantly higher and REM latency was longer in OSAS group (9.3${\pm}4.3$4.3%, 181.5${\pm}4.3$59.9 min) than in controls (5.6${\pm}4.3$2.8%, 133.5${\pm}4.3$42.0 min). Scaling exponent (${\alpha}$) showed that sleep EEG of OSAS children also followed the 'longrange temporal correlation' characteristics. Value of ${\alpha}$ increased as sleep stages increased from stage 1 to stage 4. Value of ${\alpha}$ from C3/A2, C4/A1, O1/A2, O2/A1 were significantly lower in OSAS than in control (1.36${\pm}4.3$0.05 vs. 1.41${\pm}4.3$0.04, 1.37${\pm}4.3$0.04 vs. 1.41${\pm}4.3$0.04, 1.37${\pm}4.3$0.05 vs. 1.41${\pm}4.3$0.05, and 1.36${\pm}4.3$0.07 vs. 1.41${\pm}4.3$0.05, p<0.05). Higher stage 1 sleep (%) in OSAS children was consistent finding with OSAS adults. Lower $'{\alpha}'$ in OSAS children suggests decrease of self-organized criticality or the decreased piling-up energy of brain system during sleep in OSAS children.