• Journal of Biomedical Engineering Research
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• v.25 no.1
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• pp.5-10
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• 2004

Body movement is one of the important factors in sleep analysis. In this study, a thermopile detector with four channels was implemented as a non-contacting detector of body movement in sleep. Using a thermopile mathematical model and several frames of thermal images, the possibility of detecting body movement was evaluated. Instant body movement signals were evaluated for the upper, lower, and entire body using the Haar wavelet. This decomposition shows the points in time when the upper-body or lower-body movement occurred and the level of body movement. Additionally, partial body movement was decomposed in head-only, whole body, and leg-only movement using the ANFIS algorithm. Finally, three subject's data were evaluated for 60 minutes, and the detection rates of instant and partial body movement, on average, were 96.3％ and 89.2％, respectively.

• Journal of Industrial Convergence
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• v.19 no.4
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• pp.103-109
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• 2021

The purpose of this study was to compare the health behaviors of North Korean refugee women according to their health cognition level. The tools were selected through focus group interviews of researchers and respondents to carry out the purpose of the study while being as brief as possible, and to secure content validity by the expert group. Based on this, the health cognition level was divided into three stages and organized into groups, and health behavior was composed of nutrition, exercise, and sleep as three factors to help actual behavior change. For data analysis, one-way ANOVA was used to compare health behaviors according to each health cognition level, and the following conclusions were obtained. First, there was a significant difference in nutrition and sleep of health behavior according to the level of physical health awareness, but there was no significant difference in exercise. Second, there were significant differences in nutrition, exercise, and sleep of health behavior according to psychological health cognitive level. Third, there was a significant difference in nutrition and sleep of health behavior according to social health cognitive level, and there was no significant difference in exercise.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.57-58
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• 2017

• Research in Community and Public Health Nursing
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• v.5 no.1
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• pp.53-63
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• 1994

Health could be maintained and promoted by pursuing an active healthy lifestyle. Life-style include health habits and behavior pattern such as exercise, diatry change, weight control, stress management et al. The objectives of this studies are (1) to analyze recognition and practice of lifestyle between nurses and non-nurses, (2) to analyze health status of clients which presented healthy lifestyle, (3) to analyze factors that affected healthy lifestyle. The lifestyle assessment questionnaire is divided into ten sections: competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, self-actualization, sense of purpose, relation with others, environmental control, and use of health care system. The major results are as follows : (1) The level of recognition and practice of lifestyle was not high. Nurses showed more higher score than non nurses in lifestyle area such as competence in selfcare, stress management, environmental control, and use of health care system. (2) Good health status and lifestyle presented positive relation. (3) In mutiple classifiction analysis, competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, environmental control, and use of health care system had significant relation to independent variables. (4) Change of concept for healthy lifestyle after this survey was higher in nurses group and the most concern area was stress management. To sum up, lifestyle pattern of nurses as health professional was not desirably high. Therefore nurses ownself should effort to practice healthy lifestyle prior to others, and then educate importance of lifestyle for health promotion and disease prevention. In conclusion, it will be useful to consider significant lifestyle factors that was be identified in this study to develop health promotion program.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.9
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• pp.1928-1934
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• 2009

This paper proposes a power management scheme for sensor nodes in wireless sensor networks based on sensor node operating system supporting the sensor transparency, which can turn off the sensors when the MCU is in sleep mode. We classify the sensors in two types, that is, event sensors and polling sensors, to be able to decide whether the sensor is a type of sensors whose power supply can be turned off or not, and we design a new scheduler to support recognition of those different types of sensors. Implementing and evaluation of the scheduler and the power manager supporting sensor transparency are shown based on Nano-Q+.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.201-210
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• 2015

Objectives : The purpose of this study was to identify the effect on cognitive function in elderly people above 65 years of age. Methods : The data were collected from June 1 to August 30 2014. Data were collected by questionnaire from 994 elderly people. The instruments for this study were ADL, IADL, depression, MMSE-DS. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression with the SPSS/WIN 18.0 program. Results : The significant factors influencing MMSE-DS were education(${\beta}=-0.314$, p<.001), IADL(${\beta}=0.196$, p<.001), age(${\beta}=-0.168$, p<.001), exercise time(${\beta}=0.089$, p=.004), economic conditions(${\beta}=0.086$, p=.007), depression(${\beta}=-0.084$, p=.001), income(${\beta}=-0.083$, p=.003), sleep time(${\beta}=-0.079$, p=.001), medical insurance(${\beta}=0.059$, p=.024) and leisure(${\beta}=0.057$, p=.039). Conclusions : Based on the study, subjects with cognitive impairment detected at an early stage it is necessary to intervene in consideration of the individual characteristics and to develop and apply the program that improve the living habits such as exercise and sleep, and decreasing depression.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.153-164
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• 2009

Purpose: This study investigates the relationship between job stress, depression, health-related behavior and type A behavior patterns among male workers at a steel factory. Methods: The study was done on 171 male workers, using the structured questionnaire. The data were collected in April, 2009 and analyzed by descriptive statistics, t-test, ANOVA, and pearson correlation coefficient. Results: The results showed that 65.5% of workers were under moderate stress, 25.7% high stress and 0.6% extremely high stress. The overall score of these workers' occupational stress was 41.9, lower than the Korean workers' average. Occupational stress was correlated with depression, type A behavior patterns, a very poor physical condition without sufficient sleep. Conclusion: Stress management program is strongly needed for these subjects working over 45 hours a week, with a very poor subjective physical condition, insufficient sleep, type A behavior patterns and signs of severe depression. Further longitudinal study is recommended to show the effect of such worker's stress management program to mitigate job-related stress.

• Journal of Sensor Science and Technology
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• v.26 no.4
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• pp.280-285
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• 2017

This paper presents a respiration measurement sleeping pillow based on pressure sensors. The respiration measurement sleeping pillow system consists of a sleeping pillow, an interface circuit, a respiration measurement system, and four force-sensitive resistor(FSR) sensors attached at the bottom of the sleeping pillow. The FSR sensors are used to detect the respiration signals induced by the body movement while breathing. The respiration signals of a twenty health man were measured and analyzed by utilizing the respiration measurement sleeping pillow system. The pillow system could detect the respiration signals and had similar characteristics to the chest type BIOPAC respiration sensor used by medical doctors. The respiration rates of ten subjects were also measured. The average measurement accuracy was about 98.8%. The research results showed that this pillow system can be used to detect and analyze the respiration signal when sleeping for the better sleep management.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.619-628
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• 2016

This paper describes a theoretical framework for rate allocation to maximize the power efficiency of overall heterogeneous wireless networks whose users are assumed to have multihoming capabilities. Therefore, the paper first presents a power consumption model considering the circuit power and radio transmission power of each wireless network. Using this model, two novel power efficient rate allocation schemes (PERAS) for multihoming services are proposed. In this paper, the convex optimization problem for maximizing the power efficiency over wireless networks is formulated and solved while guaranteeing the required quality of service (QoS). Here, both constant bit rate and variable bit rate services are considered. Furthermore, we extend our theoretical framework by considering the sleep-operation management of wireless networks. The performance results obtained from numerical analysis reveal that the two proposed schemes offer superior performance over the existing rate allocation schemes for multihoming services and guarantee the required QoS.

• Perspectives in Nursing Science
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• v.2 no.1
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• pp.1-18
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• 2005

Health care providers working with IBS patients are challenged in that the underlying pathophysiology remains poorly defined and treatments are not universally effective (American College of Gastroenterology Functional Gastrointestinal Disorders Task Force, 2002). Nurses often work with patients to identify factors provoking or alleviating symptoms and based on these observations hone strategies to manage symptoms. Understanding stress induced alterations in sleep and ANS function may provide important clues as to additional self-management strategies to test.