• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.609-616
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• 2018

In this paper, we designed a multimodal bio-signal measurement system to observe changes in the brain nervous system and vascular system during sleep. Changes in the nervous system and the cerebral blood flow system in the brain during sleep induce a unique correlation between the changes in the nervous system and the blood flow system. Therefore, it is necessary to simultaneously observe changes in the brain nervous system and changes in the blood flow system to observe the sleep state. To measure the change of the nervous system, EEG, EOG and EMG signal used for the sleep stage analysis were designed. We designed a system for measuring cerebral blood flow changes using functional near-infrared spectroscopy. Among the various imaging methods to measure blood flow and metabolism, it is easy to measure simultaneously with EEG signal and it can be easily designed for miniaturization of equipment. The sleep stage was analyzed by the measured data, and the change of the cerebral blood flow was confirmed by the change of the sleep stage.

• Journal of Korean Medical classics
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• v.24 no.4
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• pp.9-21
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• 2011

Mankind spends a third of it's lifetime sleeping. Sleep deficiency can cause several psychological and physical complications - as well as death - if prolonged over extended periods. Therefore, sleep is a substantial part of life and essential to the preservation of human-life. In modern society, human-beings are having more difficulty with sleep than ever before. Consequently, the need for medical research on sleep has increased as well. There are no studies in current western medicine that focuses entirely on sleep alone. However, there have been ongoing research by traditional eastern medicine on sleep and sleep-related-dysfunctions since ancient times which has yielded diverse results. Undertaken a study of the sleep and sleep-related-dysfunction in traditional medicine of East-asia, I have summarized my studies into the following. 1. From ancient china to the age of the warring state(戰國時代) - ground on few data that we can get - humans have a simple and rough cognizance of sleep and sleep-related- dysfunction. But people are little removed from shamanism yet. 2. After Han(漢) dynasty, in "Huang Di Nei Jing(黃帝內經)" and "Shang Han Lun(傷寒論)" and "Jin Gui Yao Lue(金匱要略)", people present a basic physiology and pathology of sleep. 3. The theory has improved repeatedly in quality and quantity through "Zhen Jiu Jia Yi Jing(針灸甲乙經)" of Huang Fu Mi(皇甫謐) of Jin(晉) dynasty, "Bei Ji Qian Jin Yao Fang(備急千金要方)" of Sun Si Miao(孫思邈) of Tang(唐) dynasty to "Tai Ping Sheng Hui Fang(太平聖惠方)" of Song(宋) dynasty.

• Korean Journal of Biological Psychiatry
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• v.19 no.1
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• pp.65-69
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• 2012

Objectives : Much is still unknown about the neurophysiological mechanisms or dynamics of the sleep onset process. Detrended fluctuation analysis (DFA) is a new tool for the analysis of electroencephalography (EEG) that may give us additional information about electrophysiological changes. The purpose of this study is to analyze long-range correlations of electroencephalographic signals by DFA and their changes in the sleep onset process. Methods : Thirty channel EEG was recorded in 61 healthy subjects (male:female=34:27, age=$27.2{\pm}3.0$ years). The scaling exponents, alpha, were calculated by DFA and compared between four kinds of 30s sleep-wakefulness states such as wakefulness, transition period, early sleep, and late sleep (stage 1). These four states were selected by the distribution of alpha and theta waves in O1 and O2 electrodes. Results : The scaling exponents, alpha, were significantly different in the four states during sleep onset periods, and also varied with the thirty leads. The interaction between the sleep states and the leads was significant. The means (${\pm}$ standard deviation) of alphas for the states were 0.94 (${\pm}0.12$), 0.98 (${\pm}0.12$), 1.10 (${\pm}0.10$), 1.07 (${\pm}0.07$) in the wakefulness, transitional period, early sleep and late sleep state respectively. The mean alpha of anterior fifteen leads was greater than that of posterior fifteen leads, and the two regions showed the different pattern of changes of the alpha during the sleep onset periods. Conclusions : The characteristic findings in the sleep onset period were the increasing pattern of scaling exponent of DFA, and the pattern was slightly but significantly different between fronto-temporal and parieto-occipital regions. It suggests that the long-range correlations of EEG have a tendency of increasing from wakefulness to early sleep, but anterior and posterior brain regions have different dynamical process. DFA, one of the nonlinear analytical methods for time series, may be a useful tool for the investigation of the sleep onset period.

• Sleep Medicine and Psychophysiology
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• v.17 no.1
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• pp.34-40
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• 2010

Objectives: This study aimed to evaluate the clinical efficacy of individual cognitive behavioral therapy (CBT) for Patients with Primary or Secondary Insomnia. Methods: Participants were recruited from a primary care sleep clinic from January 2008 to June 2009. The study sample included 64 outpatients with primary insomnia (n=30) and secondary insomnia (n=34) according to the criteria of DSM-IV. Participants completed sleep diaries, Dysfunctional Beliefs and Attitudes about Sleep Scale-16 (DBAS), State-Trait Anxiety Inventory (STAI) before CBT and shortly after completion of CBT. CBT was provided in 7 weekly, 40-50-minute individual therapy sessions. Results: Both groups of patients with primary and secondary insomnia showed significant improvement in the DBAS and sleep parameters including sleep onset latency, total sleep time, and sleep efficiency. Repeated-measures ANOVA of the DBAS and sleep parameters showed no significant group-by-time interactions between patients with primary and secondary insomnia, suggesting the efficacy of CBT for patients with secondary insomnia was equivalent to that of CBT for patients with primary insomnia. Conclusion: This study suggests that CBT is effective for the management of primary and secondary insomnia in a primary care setting.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.2B
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• pp.130-137
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• 2012

In this paper, we propose core and edge router architectures with LPI(Low Power Idle) for reducing energy consumption in OBS networks. The proposed core router architecture is comprised of a BCP switch, a burst switch, line cards and sleep/wake controller for LPI. When the offered load of network is low, sleep/wake controller can change the state of the core router line card from active to sleep state for saving the energy after receiving network control packet. The edge router consists of a switch for access line card, a SCU and OBS edge router line cards. The LPI function in edge router line card is performed through network level control by network control packet, individually. Additionally, PHY/transceiver modules can transition active state to sleep state when burst assemble engine generates new bursts. To evaluate the energy saving performance of proposed architecture with LPI, the power consumption of each router is analyzed by using data sheet of commercial router and optical device. And, simulation is also performed in terms of sleep time of PHY/Transceiver through OPNET.

• Anxiety and mood
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• v.12 no.1
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• pp.21-27
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• 2016

Objective : The aim of this study was to investigate the relationship between subjective sleep problems and various types of traumatic events of patients with depressive disorder. Methods : A total of 411 patients diagnosed with depressive disorders were recruited in this study. The participants filled out Life Time Events Checklist (LEC), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and State-Trait Anxiety Inventory (STAI). We used the independent t-test and analysis of covariance to compare each component of PSQI between depressive patients with and without traumatic experiences. Results : The groups of patients who experienced a serious accident at work, home or during recreational activity, sexual assault, other unwanted or uncomfortable sexual experience, life-threatening illness or injury, and sudden, unexpected death of a near and dear one showed lower scores in a few components of PSQI. Sleep disturbance was a common problem in all five groups. Lower subjective sleep quality and longer sleep latency was observed in three groups. There were no differences in the other components of PSQI among groups. Conclusion : This study showed that various types of traumatic events may have different effects on subjective sleep quality as a consequence of the traumatic event which they had experienced.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.83-97
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• 2021

Wireless sensors that make up the Wireless Sensor Network generally have extremely limited power and resources. The wireless sensor enters the sleep state at a certain interval to conserve power. The Sleep deflation attack is a deadly attack that consumes power by preventing wireless sensors from entering the sleep state, but there is no clear countermeasure. Thus, in this paper, using clustering-based binary search tree structure, the Sleep deprivation attack detection model is proposed. The model proposed in this paper utilizes one of the characteristics of both attack sensor nodes and normal sensor nodes which were classified using machine learning. The characteristics used for detection were determined using Long Short-Term Memory, Decision Tree, Support Vector Machine, and K-Nearest Neighbor. Thresholds for judging attack sensor nodes were then learned by applying the SVM. The determined features were used in the proposed algorithm to calculate the values for attack detection, and the threshold for determining the calculated values was derived by applying SVM.Through experiments, the detection model proposed showed a detection rate of 94% when 35% of the total sensor nodes were attack sensor nodes and improvement of up to 26% in power retention.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.49-50
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• 2011

In this paper we collect data concerning sleep environments in a bedroom and analyze the relationship between the collected condition data and sleep. In addition, this paper detects scene changes from the subjects in a sleeping state and presents the physical conditions, reactions during sleep, and physical sensations and stimuli. To detect scene changes in image sequences, we used color histogram for the difference between the preceding frame and the current frame. In addition, to extract the tossing and turning for different situations, the subjects were instructed to enter the level of fatigue, the level of drinking, and the level of stomach emptiness.

• Journal of IKEEE
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• v.22 no.3
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• pp.862-865
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• 2018

The proposed scheme minimizes the Idle time under the residual energy of the sensor node to adjust the Sleep-Wakeup period and minimize unnecessary energy consumption. It is The proposed scheme minimizes the Idle time under the residual energy of the sensor node to adjust the Sleep-Wakeup period and minimize unnecessary energy consumption. It is an important process to control the Application Packet Framework including the PHY and the MAC layer at each node's Idle time with the Idle time mechanism state before the proposed function is executed. The Current Control Level of the Report Attribute is fixed at one sending / receiving node where power consumption can occur, by changing Sleep-Wakeup time, the low power consumption efficiency was improved while satisfying the transmission requirement of the given delay time constraint.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.311-318
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• 2020

This was a basic study to ascertain the changes in sleep patterns and the factors disrupting sleep in hospitalized children. The participants were children aged 6 years or younger who had been hospitalized in an advanced general hospital in a particular region. A total of 81 participants were included, and for data analysis using SPSS/WIN 21.0. The results showed that children's sleep duration decreased significantly after hospitalization compared to before (p<.001), and there were significant differences in sleep onset latency (p<.001) and frequency of sleep deprivation (p<.001). Factors perceived by the children's mothers to disrupt sleep included the child's health state, noise in the ward, nurses' treatments, and lighting in the ward. This study verified that children's sleep quality and duration decreases during hospitalization, demonstrating the need to prepare measures to improve sleep in hospitalized children based on an understanding of changes in sleep patterns and disrupting factors.