• Smart Media Journal
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• v.3 no.4
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• pp.35-40
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• 2014

As small sized bio-sensors and digital yarns are developed, digital wear measuring vital signs can be used for individuals' health, the elderly care and sports activities. This paper discusses a database structure for analyzing stress state, pulses, positions, exercise amount of user based on vital signs measured for 24 hours measured by the wear and GPS information, and a storage for storing XML documents following a standard HL7 meta-model. By analyzing the stored information, the system identifies the stress state and exercise amount of users. Pulses, exercise intensity and emergency situations can be also detected by the system in real time. This paper discusses the implementation of a system enabling to acquire and analyze vital signals to understand user behavior patterns.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.566-579
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• 2012

Ubiquitous computing called pervasive one is based on the thought of pervading ability of computation in daily life applications. In other words, it aims to include computation in devices such as electronic equipment and automobiles. This has led to disengagement of computers from desktop form. Accordingly, the notice in ubiquitous computing being taken of a world steeped in remote and wireless computer-based-services. Handheld and wearable programmed devices such as sense and control appliances are such devices. This advancement is rapidly moving domestic tasks and life from device-and-human communication to the device-and-device model. This model called Machine to Machine (M2M) has led to acceleration of developments in sciences such as nano-science, bio-science, and information science. As a result, M2M led to appearance of applications in various fields such as, environment monitoring, agricultural, health care, logistics, and business. Since it is envisaged that M2M communications will play a big role in the future in all wireless applications and will be emerged as a progressive linkage for next-generation communications, this paper aims to consider how much M2M architectures can realize ubiquitous computing in daily life applications. This is carried out after acquainting and initiating readers with M2M architectures and arguments for M2M. Some of the applications was not achievable before but are becoming viable owing to emergence of M2M communications.

• Bulletin of the Korean Chemical Society
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• v.35 no.10
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• pp.3005-3008
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• 2014

Human ChlR1 protein (hChlR1), a member of the cohesion establishment factor family, plays an important role in the segregation of sister chromatids for maintenance of genome integrity. We previously reported that hChlR1 interacts with hFen1 and stimulates its nuclease activity on the flap-structured DNA substrate covered with RPA. To elucidate the relationship between hChlR1 and Okazaki fragment processing, the effect of hChlR1 on in vitro nuclease activities of hFen1 and hDna2 was examined. Independent of ATPase activity, hChlR1 stimulated endonuclease activity of hFen1 but not that of hDna2. Our findings suggest that the acceleration of Okazaki fragment processing near cohesions may aid in reducing the size of the replication machinery, thereby facilitating its entry through the cohesin ring.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.24-30
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• 2019

Modern people argue that mental health care is necessary because of various factors such as unstable income and conflict with others. Recently, equipments capable of measuring electrocardiogram (ECG) in wearable equipment have been widely used. In the case of overseas, it can be seen as a medical assistant [14]. By using such functions, studies are being conducted to distinguish representative emotions (joy, sadness, anger, etc.) with objective values. However, most studies are increasing accuracy by collecting complex bio-signals in a limited environment. Therefore, we examine the factors that have the greatest influence on the change and discrimination of biometric information on each stimulus.

• Journal of Korean society of Dental Hygiene
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• v.21 no.1
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• pp.17-25
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• 2021

Objectives: Interdental toothbrushes are made and sold in various design types and brush thicknesses. However, there is little research on which type of interdental toothbrush currently manufactured and sold on the market is the most effective in eliminating interdental plaque. Therefore, this study aims at comparing the elimination rate of artificial dental plaque between reciprocating- and rotating-types of interdental toothbrush based on the frequency of application and thickness of brush. Methods: This study focused on the effective management of dental plaque using interdental toothbrush, a recommended item for personal dental hygiene. The method was as follows: artificial dental plaque coloring was applied to the distal surface of artificial tooth #46 and the mesial surface of #47. The area was subject to reciprocal movement three and six times to eliminate artificial plaque. Results: The results showed that using a 0.7mm rotating interdental toothbrush, on the proximal surface of each molar, the elimination rates were: on the distal surface of #46, upon three applications 40.24%, upon six applications 30.41%; on the mesial surface of #47, upon three applications 44.52%, upon six applications 29.72%. Conclusions: These results showed that for rotating-type interdental toothbrushes, a high dental plaque elimination rate was observed even though many reciprocal movements were not performed.

• Journal of Veterinary Clinics
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• v.40 no.6
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• pp.399-407
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• 2023

Chronic kidney disease (CKD) occurs in more than 15% of the dogs over 10 years of age and causes irreversible renal function deterioration. Therefore, it is important to diagnose CKD early and treat the disease properly. The purpose of this study aimed to to evaluate the clinical utility of urine albumin/creatinine ratio (ACR) using POC (point-of-care) device as an early detection urinary biomarker in CKD dogs and to confirm the correlation between ACR and other known CKD biomarkers. Urine and serum samples were obtained from 50 healthy dogs and 50 dogs with CKD. Serum blood urea nitrogen (BUN), creatinine, and symmetric dimethylarginine (SDMA) concentrations, and urine protein creatinine ratio (UPC) were measured. Urine specific gravity (USG) was evaluated using refractometer, and ACR was measured using an i-SENS A1Care analyzer. The ACR values of dogs with CKD were significantly different from those of healthy dogs (p < 0.001), as with other renal biomarkers. ACR showed significant differences between healthy dogs and dogs with CKD at every IRIS stage (p < 0.005), whereas no significant differences were observed between dogs with CKD IRIS stage I and healthy dogs with UPC. There are significant positive correlation between ACR and BUN (r = 0.611, p < 0.001), creatinine (r = 0.788, p < 0.001), SDMA (r = 0.747, p < 0.001), and UPC (r = 0.784, p < 0.001), and significant negative correlation between ACR and USG (r = -0.700, p < 0.001). In receiver operator characteristic curve analysis, the area under the curve (AUC) was 0.982 (95% CI 0.963-1.000, p < 0.001), with an optimal cut-off value of 64.20 mg/g (94% sensitivity and 94% specificity). Thus, ACR is a useful urinary biomarker for the early diagnosis of proteinuria in CKD and combined use of ACR and other renal biomarkers may be helpful for early diagnosis and prevention of CKD in dogs.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.1-6
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• 2012

In modern society, the amount of information has been significantly increased according to the development of IT convergence technology. That leads to develop information obtaining and searching technologies from lots of data. However, they don't seem to have been actually effective for users' health care and promotion not only for limitations of Web-based information and but for lack of personalization. Health information support services have been generally developed in a format of inputting data on bio-information acquired into the computer for the existing network-based transmission. In this paper, a life habits disease system that uses the existing medical data and Framingham risk factor(FRS) performs neural network is proposed. Based on the proposed system, it is possible to provide the fundamental data and guideline to doctors for recognizing the life habits disease diagnosis of patients and that represents increases in the welfare of patients.

• Journal of the Korean Magnetics Society
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• v.23 no.4
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• pp.135-143
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• 2013

The clip-type pulsimeter equipped with a Hall sensor has a permanent magnet attached in the "Chwan" position to the center of a radial artery. The clip-type pulsimeter is composed of a hardware system measuring voltage signals. These electrical bio-signals display pulse rate, non-invasive blood pressure, respiratory rate, pulse wave velocity (PWV), and spatial pulse wave velocity (SPWV) simultaneously measured by using the radial artery pulsimeter, the electrocardiograph (ECG), and the photoplethysmograph (PPG). The findings of this research may be useful for developing a oriental-western biomedical signal storage device, that is, the new and fusion patient monitor, for a U-health-care system.

• Preventive Nutrition and Food Science
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• v.10 no.2
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• pp.198-205
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• 2005

Korean medicated diet (KMD) is not a simple combination of food and Chinese drugs, but a special carefully constructed diet made from Sasang constitutional medicines, food and condiments under the theoretical guidance of diet preparation based on differentiation of symptoms and signs of traditional Sasang medicine (TSM). It combines the functional efficacy of medicine with the delicacy of food, and can be used to prevent and cure diseases, build up one's health and prolong one's life. Korean traditional medicated diet has a long history of development. Although influenced by Chinese medicine, Korean traditional medicine has been developed into a unique system of traditional medicine that has surpassed the continental medical practice, sublimating itself into a native medical practice suitable to Korean lifestyles and physical constitutions. In the 19th century, Lee Jema's Sasang medicine (medicine of four types of energy determining the physical constitution) was introduced. It is an integration of mind and body according to the individual's physical constitution that is categorized allowing a customized method of treatment ideal for each category-making the content of Korean traditional medicated diet even richer. The characteristics of Korean medicated diet are as follows: (1) Laying stress on the wole, selecting medicated diet on the basis of differential diagnosis. (2) Suitable for prevention and treatment, outstanding in effect. (3) Good in taste, convenient for taking. KMD refers to drink and food according to certain prescriptions, by processing and cooking that can be used either for prevention and cure of diseases, or for health care and recovery. The purpose of this review is to introduce TSM and KMD based on Sasang constitutional medicines.

• Women's Health Nursing
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• v.20 no.1
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• pp.14-28
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• 2014

Purpose: This study was to identify relationships of maternal psychosocial factors including mother's mood state, childcare stress, social support and sleep satisfaction with breastfeeding adaptation and immune substances in breast milk, especially secretory immunoglobulin A (sIgA) and transforming growth factor-beta 2 (TGF-${\beta}2$). Methods: Data were collected from 84 mothers who delivered full-term infants by natural childbirth. Structured questionnaires and breast milk were collected at 2~4 days and 6 weeks postpartum. Data were analyzed using descriptive statistics, Pearson's correlation, multiple linear regression, and generalized estimating equation (GEE). Results: Scores for the breastfeeding adaptation scale were significantly related with child care stress, mood state and social support. Mother's anger was positively correlated with the level of sIgA in colostrum (p<.01). Immune substances of breastmilk was significantly influenced by time for milk collection (p<.001) and the type of breastfeeding (sIgA, p<.001, TGF-${\beta}2$, p=.003). Regression analysis showed that breastfeeding adaptation could be explained 59.1% by the type of breastfeeding, childcare stress, the Profile of Mood States, emotional support and sleep quality (F=16.67, p<.001). Conclusion: The findings from this study provide important concepts of breastfeeding adaptation program and explanation of psychosocial factors by immune substances in breast milk. Future research, specially, bio-maker research on breast milk should focus on the ways to improve breastfeeding adaptation.