• Sleep Medicine and Psychophysiology
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• v.18 no.2
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• pp.67-71
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• 2011

Schizophrenia is a chronic, currently incurable, and devastating syndrome. Although sleep disturbances are not primary symptoms of schizophrenia, they are important aspects of schizophrenia. Difficulties initiating or maintaining sleep are frequently encountered in patients with schizophrenia. Many schizophrenics report low subjective sleep quality. Measured by polysomnography, increased sleep latency as well as reduced total sleep time, sleep efficiency, slow wave sleep, and rapid eye movement sleep latency (REM latency), are found in most patients with schizophrenia and appear to be an important aspect of the pathophysiology of this disorder. Some literatures suggest that worsening sleep quality precedes schizophrenic exacerbations. Co-morbid sleep disorders such as obstructive sleep apnea (OSA) and restless legs syndrome (RLS), and sleep-disrupting behaviors associated with schizophrenia may lead to sleep disturbances. Clinicians should screen the patient with sleep complaints for primary sleep disorders like OSA and RLS, and carefully evaluate sleep hygiene behaviors of all patients with schizophrenia who complain of sleep disturbances.

• Sleep Medicine and Psychophysiology
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• v.24 no.1
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• pp.12-18
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• 2017

Adequate amount and quality of sleep are important for metabolic control in patients with type 2 diabetes. Too short or too long sleep time disrupts glycemic control in both prediabetes and type 2 diabetic patients. Circadian misalignment such as shift work is also associated with an increased risk of developing type 2 diabetes. Clinicians should pay attention to the sleep problems and circadian patterns of patients. However, the pathophysiologic mechanism of the association between sleep and diabetes is likely to be complex and bidirectional. The underlying mechanism remains poorly understood, and further research is warranted.

• Food Science of Animal Resources
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• v.37 no.5
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• pp.646-653
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• 2017

Alcalase hydrolysis of liquid egg white was used to produce 5-hydroxytryptophan (HTP) under various conditions and investigate the sleep-potentiating activity of liquid egg white hydrolysate (LEH) on pentobarbital-induced sleep. Alcalase hydrolysis yielded the highest content of 5-HTP ($13.50{\mu}g/mL$), while neutrase hydrolysis showed the lowest 5-HTP content ($5.23{\mu}g/mL$). The liquid egg white to water ratio (1:1) was optimal for the production of 5-HTP with high amino-nitrogen (A-N) content and degree of hydrolysis. The 5-HTP, amino-nitrogen, and degree of hydrolysis increased until 24 h of hydrolysis and slightly increased thereafter during hydrolysis with 2% and 5% enzyme addition. 5-HTP administration at doses of 6 and 9 mg/kg significantly increased sleep duration and decreased sleep latency time compared to that in the control (p<0.05). LEH (150 mg/mouse), which was equivalent to 5-HTP at 6 mg/kg, significantly decreased sleep latency time and increased sleep duration time compared to that in the control (p<0.05). Oral administration of LEH showed sleep-potentiating effects because of 5-HTP. The sleep-potentiating activity of LEH may have occurred through 5-HTP in our pentobarbital-induced sleep model. LEH may be a valuable alternative to sleep enhancement and may be used as a sleep-potentiating agent.

• Journal of Korea Multimedia Society
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• v.23 no.11
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• pp.1406-1417
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• 2020

Sounds that have been evaluated to be effective in inducing sleep are helpful to reduce sleep disorders. Generally, several sounds have been verified the effects by brainwave experiments, but it cannot be considered on all users because of individual variation for effects. Moreover, the effectiveness for inducing sleep is not known for all new sounds made by creative activities. Therefore, new classification system is required to collect new effective sounds with considering personal brainwave characteristics. In this paper, we propose a new sound classification method by applying improved MinHash cluster to brain waves. The proposed method will classify them through whether it is effective for sleep care by evaluation his brainwave during listening for each sound. In order to prove effectiveness of the proposed classification method, we conducted accuracy experiment for sleep sound classification using verified sleep induction sound. In addition, we have compared time for existing method and proposed method. The former is scored 85% accuracy in the experiment. We confirmed the latter one that the average processing time was reduced to 70%. It is expected to be one of method for pre-screening whether it is effective when a new sound is introduced as a sound for sleep induction.

• The Journal of Korean Academy of Sensory Integration
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• v.10 no.2
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• pp.23-32
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• 2012

Objective : The aim of the present single subject research was to identify the effect of sensory diet based on proprioception on toddler's sleep pattern and the continuance of the effect. Methods : The sensory diet based on proprioception consisted of 14 session was provided to a 13 months old girl for 2 weeks. The time taken to fall asleep, amount of sleep, bed time and severity of behavior before sleep were recorded by her mother who was taken the education about observation. Results : After the sensory diet, the child present change of time taken to fall asleep, amount of sleep, bed time and severity of behavior before sleep, and the effect on time taken to fall asleep, continued temporally. Conclusion : The sensory diet based on proprioception was related to stabilize the sleep pattern of a toddler, and the effect of the sensory diet continued temporally after the sensory diet. For future research, more subjects and methodical measure are need to generalize the result of sensory diet based on proprioception affecting to toddler's sleep pattern.

• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.41-50
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• 2014

This study was a descriptive study to investigate factors affecting sleep time in the Korean elders. A secondary data analysis was conducted using the data of "The Fifth Korea National Health and Nutrition Examination Survey, 2011". The survey included 3,487 people aged over 65 years and 1,163 samples were used for this study. Data were analyzed with the ${\chi}^2$-test and logistic regression using the SPSS/WIN 18.0 program. Analysis showed that sleep time was related with the number of chronic disease and limit on the activities of daily living(ADL). These findings suggest that nursing researchers need to consider chronic disease, and ADL as important factors affecting sleep time of Korean elders. Therefore nursing intervention focusing on the issues in needed to develope.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.3
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• pp.433-444
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• 2020

This study proposes a method to improve the sleep stage and efficiency estimation of sleep apnea patients using a UWB (Ultra-Wideband) radar. Motion and respiration extracted from the radar signal were used. Respiratory signal disturbances by motion artifacts and irregular respiration patterns of sleep apnea patients are compensated for in the preprocessing stage. Preprocessing calculates the standard deviation of the respiration signal for a shift window of 15 seconds to estimate thresholds for compensation and applies it to the breathing signal. The method for estimating the sleep stage is based on the difference in amplitude of two kinds of smoothed respirations signals. In smoothing, the window size is set to 10 seconds and 34 seconds, respectively. The estimated feature was processed by the k-nearest neighbor classifier and the feature filtering model to discriminate between the sleep periods of the rapid eye movement (REM) and non-rapid eye movement (NREM). The feature filtering model reflects the characteristics of the REM sleep that occur continuously and the characteristics that mainly occur in the latter part of this stage. The sleep efficiency is estimated by using the sleep onset time and motion events. Sleep onset time uses estimated features from the gradient changes of the breathing signal. A motion event was applied based on the estimated energy change in the UWB signal. Sleep efficiency and sleep stage accuracy were assessed with polysomnography. The average sleep efficiency and sleep stage accuracy were estimated respectively to be about 96.3% and 88.8% in 18 sleep apnea subjects.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.24 no.7
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• pp.605-608
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• 2011

In this study, OSA (the obstructive sleep apnea) periods were detected in patients with OSA during sleep because of the treatment was different according to the frequency and symptoms of obstructive sleep apnea. ANS (autonomic nervous activity) was changed by obstructive sleep apnea periods so we intended to detect the periods to care the obstructive sleep apnea patients. RR intervals, SDNN (standard deviation of normal to normal) and RMSSD (root mean square standard deviation) were calculated in time domain analysis and LF (low frequency), HF (high frequency), NHF (normalized high frequency), NLF (normalized low frequency) were calculated in frequency domain analysis of HRV (heart rate variability) with obstructive sleep apnea patients. In this paper, SDNN (standard deviation of normal to normal) of time domain analysis were decreased in the obstructive sleep apnea periods. And NLF and LF/HF ratio were increased and NHF (normalized high frequency) was decreased in the frequency domain analysis. The parameters can be used to treat obstructive sleep apnea patients by detecting the obstructive sleep apnea periods such as CPAP (continuous positive airway pressure).

• Journal of the Ergonomics Society of Korea
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• v.15 no.2
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• pp.37-49
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• 1996

Morningness-Eveningness Questionnaire (MEQ) of Horne & Ostberg(1976) was translated into a Korean version, and MEQ and life habit inventory was administrated with approximately 900 university students. The distribution of MEQ score was normal. Arising time and bedtine for weekdays and holidays came in the order of morning type, intermediate and evening-type. And the deviation for the evening-type was greatest. Also, the deviation of sleep length for the evening-type was greater than the morning- type. There were tendencies that the bed time and arising time of the male were slightly later than those of the female, and the sleep length of the male was a little longer than that of the female. It also appeared that the arising time was later in the male who completed the military services than those who did not in the chronotype. And the sleep length of the non-served male was longer than that of the served one. Such tendencies noticeably appeared especially the evening-type. The evening-type was subject to heavy variability in bedtime. arising time, and sleep length. The sleep latency of the evening- type was longer and mood on arising was worse. And the ratio of nap or light sleep was higher in these subjects than in others. These results suggested that evening-type students had more irregular and/or flexible sleep-wake habits than the morning-type.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.773-789
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• 2016

This study was conducted to identify the sleep patterns and influencing factors of hospitalized elderly in a long-term care hospital. The sleep patterns of 142 subjects were recorded using Sleep Charts. The average sleep time of subjects was 10.7 hours a day (3.9 hours in daytime and 6.8 hours in nighttime). Sleep regularity among participants were 71.7% in all day (58.1% in day time and 80.5% in night time). The presence of dementia patients in the room (PDPR) has been identified to be a statistically significant predictor of all day sleep, and pain, PDPR, and physical function have been found to be a significant predictors of sleep regularity in all day among subjects. It suggested that elderly patients in a long-term care hospital do not slept well during night, which leads to increase in daytime sleep and decrease the quality of their sleep. Therefore, an intervention program should be developed to promote the quality of sleep among hospitalized elderly.