• Sleep Medicine and Psychophysiology
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• v.12 no.2
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• pp.98-104
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• 2005

Approximately 1% to 3% of all children have obstructive sleep apnea syndrome (OSAS). OSAS in children can lead to a variety of symptoms and sequalae; impairment of development and quality of life, behavioral and personality disturbance, learning problem, cor pulmonale and hypertension. Diagnosis and treatment of OASA for children are different from those for adults in many respects. Adenotonsillar hypertrophy is major cause of childhood OSAS. Overnight polysomnography in a sleep laboratory is the gold standard for diagnosing childhood OSAS. However, because full polysomnography in children may be difficult to obtain, expensive, and inconvenient, other methods to diagnose OSAS have been investigated. Adenotonsillectomy is the most common surgical treatment of childhood OSAS. But if residual symptoms remained after adenotonsillectomy, it should be considered to additional treatment such as weight control, sleep positional change, and continuous positive airway pressure (CPAP).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.2
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• pp.58-66
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• 2007

This study is evaluation of shift-workers' sleep and social life related to hospital workers' performance and health. We researched shiftworkers' sleep, sleeping quality and social relations using a questionnaire method to shiftworkplace scattered Daejeon and Chungnam province. The results of shiftworkers' sleep are differ from habitual sleep. Social participations of shiftworkerse are interfered partially because of shiftwork. In preference, shiftworker preferred health to others because of physical load of shiftworks. Through result of this study about sleep and social life style, we hope to derive reduction methods of shift work fatigue and education for improvement of employers, for example an physiological and psychological accordance method, an health problem solving method and an social accordance method, etc.

• Journal of KIISE
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• v.44 no.1
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• pp.63-70
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• 2017

This paper considers the problem of combining multiple strategies for solving sleeping bandit problems with stochastic rewards and stochastic availability. It also proposes an algorithm, called sleepComb(${\Phi}$), the idea of which is to select an appropriate strategy for each time step based on ${\epsilon}_t$-probabilistic switching. ${\epsilon}_t$-probabilistic switching is used in a well-known parameter-based heuristic ${\epsilon}_t$-greedy strategy. The algorithm also converges to the "best" strategy properly defined on the sleeping bandit problem. In the experimental results, it is shown that sleepComb(${\Phi}$) has convergence, and it converges to the "best" strategy rapidly compared to other combining algorithms. Also, we can see that it chooses the "best" strategy more frequently.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.69-77
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• 2015

Purpose: The purpose of this study was to investigate the variance of sleep quality and factors affecting sleep disturbance among patients with percutaneous coronary angiography in a general hospital. Methods: The subjects of this study was comprised of 101 patients with percutaneous coronary angiography in a general hospital located in B city. Data were collected by a structured questionnaire from November to December 2013. The data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: The levels of the participants' sleep quality and sleep disturbance were 4.35 and 5.91 in order of each out of the total score, 10. There was no significant difference in the quality of sleep between intensive care unit and internal medicine unit. Factors influencing sleep quality were 'uncomfortable bed, gown and pillow'(${\beta}=-.279$, p=.003), 'living alone'(${\beta}=-.273$, p=.003), and 'toilet problem' (${\beta}=-.222$, p=.016), which explained 21.5% of the variance (F=10.03, p<.001). Conclusion: The results of this study will provide a basis for improving the sleep quality of patients with percutaneous coronary angiography.

• Journal of Korean Biological Nursing Science
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• v.20 no.1
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• pp.30-37
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• 2018

Purpose: The purpose of this study was to examine the relationship between sleep quality and stress among nursing students. Methods: A cross-sectional study was conducted with 94 nursing students from a University in Seoul. Participants completed questionnaires and the data were analyzed using t-test, ANOVA, and Pearson correlation coefficients. Results: The mean score of sleep quality was $6.93{\pm}2.66$ among nursing students and 81.9% had a sleep problem. The mean score of stress was $18.61{\pm}4.84$. Sleep quality was significantly different by clinical practice days per week, subjective physical health status, and subjective mental health status. Stress levels were significantly different by subjective physical health status, subjective mental health status, social relationship satisfaction, and satisfaction levels of nursing major and university. A significant relationship between sleep quality and stress (r= .45, p< .001) was found, meaning that a lower quality of sleep was significantly correlated with higher stress level. Conclusion: The results indicated that most nursing students had sleep problems and stress. Therefore, interventions are needed to be developed to lower the level of stress and increase the quality of sleep among nursing students.

• 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.

• Sleep Medicine and Psychophysiology
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• v.26 no.2
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• pp.75-85
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• 2019

A lucid dream is defined as a dream during which a dreamer is aware that she/he is dreaming. The existence of lucid dream has long been known in the literature, but it hasn't been long before it has received attention in sleep medicine. Although many studies have been conducted since validation of the lucid dream in polysomnography by Steven LaBerge in the 1980s, the neuroscience of lucid dreams is still not fully understood. Here the neuroscientific literature on lucid dreaming, including electroencephalographic, neuroimaging, pharmacological and brain stimulation studies, are reviewed. Also this review gives an overview on how lucid dreams are used in clinical and nonclinical areas, ranging from nightmare therapy to research on consciousness and creative problem solving.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.71-75
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• 2019

Sleep apnea is a disease that causes various complications, and the polysomnography is expensive and difficult to measure. The purpose of this study is to develop an unrestricted wearable monitoring system so that patients can be examined in a familiar environment. We used a method to detect sleep apnea events and to determine sleep satisfaction by non-constrained method using SpO2 measurement sensor and 3-axis acceleration sensor. Heart rate and SpO2 were measured at the finger using max30100. After acquiring the SpO2 data of the user in real time, the apnea measurement algorithm was used to transmit the number of apnea events of the user to the mobile phone using Bluetooth (HC-06) on the wrist. Using the three-axis acceleration sensor (mpu6050) attached to the upper body, the number of times of tossing and turning during sleep was measured. Based on this data, this algorithm evaluates the patient's tossing and turning during sleep and transmits the data to the mobile phone via Bluetooth. The power source used 9 volts battery to operate Arduino UNO and sensors for portability and stability, and the data received from each sensor can be used to check the various degree between sleep apnea and sleep tossing and turning on the mobile phone. Through thisstudy, we have developed a wearable sleep apnea measurement system that can be easily used at home for the problem of low sleep efficiency of sleep apnea patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2058-2074
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• 2017

Dense Heterogeneous Cellular Networks(HCNs) offer a promising approach to meet the target of 1000x increase in aggregate data rates in 5G wireless communication systems. However how to best utilize the available radio resources at densely deployed small cells remains an open problem as those small cells are typically unplanned. In this paper we focus on balancing loads across macro cells and small cells by offloading users to small cells, as well as dynamically switching off underutilized small cells. We propose a joint user association and base station(BS) sleep mangement(UA-BSM) scheme that proactively offloads users to a fraction of the densely deployed small cells. We propose a heuristic algorithm that iteratively solves the user association problem and puts BSs with low loads into sleep. An interference relation matrix(IRM) is constructed to help us identify the candidate BSs that can be put into sleep. User associations are then aggregated to selected small cells that remain active. Simulation results show that our proposed approach achieves load balancing across macro and small cells and reduces the number of active BSs. Numerical results show user signal to interference ratio(SINR) can be improved by small cell sleep control.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.1
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• pp.1-11
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• 2013

Reducing the energy that consumed by tag is a key requirement for the wider acceptance of the active RFID systems that use battery constrained tags. When the reader is not interrogating, the active RFID standard protocols try to reduce energy consumption of tags by using sleep mode. On sleep mode tags is active by receiving a specific signals from reader, until tag receive a sleep mode command from the reader, a tag waste energy for remaining in RX mode. Overhearing is a state of a tag in which it wastes energy for maintaining active RX state while there is no frame destined to it. According to our analysis, the amount of energy consumed by a tag due to overhearing is several time larger than that consumed by the effective communication. We propose RANO(Reservation Aloha for No Overhearing) that is designed to inform a tag of its effective communication intervals to eliminate overhearing problem in active RFID communication. The performance of the proposed protocol was evaluated through the real world by changing the number of tags and size of data. The result of an experiment, the proposed protocol performed saving about 22 times less than the standard protocol did.