• Convergence Security Journal
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• 제15권7호
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• pp.63-68
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• 2015

In rapid aging society, the disease prevention and management for healthy life of the elderly is very important. Regular physical activity is known to be a useful intervention for the physical and mental health of the elderly. In this study, we explore the convergence contents using IT technology as the intervention for encouraging the regular physical activity in the elderly. There are u-Healthcare and serious game as the convergence of health care and IT technology, and the serious game which is added special purpose such as education, training, and treatment to the fun-one of the game element- can be suitable to provide a variety of contents that leads to physical activity in the elderly. The contents inducing physical activities are "Puffer(ATARI, USA)", "WiiFit(Nintendo, JAPAN)", "Age Invaders(MXR Lab, SINGAPORE)", "Xbox $360^{\circ}$+kinect(Microsoft, USA)", "Tangible bicycle game(Donsin Univ., KOREA)", and "3D Gateball game(Soongsil Univ., KOREA)", and these contents can help health care of the elderly. By increasing physical activity through the use of these contents, it will be able to promote physical fitness and body function required in daily life, disease prevention, and maintain health in the elderly.

• Biomedical Science Letters
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• 제25권1호
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• pp.99-106
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• 2019

Amyloid positron emission tomography (PET) allows early and accurate diagnosis in suspected cases of Alzheimer's disease (AD) and contributes to future treatment plans. In the present study, a method of implementing a diagnostic system to distinguish ${\beta}$-Amyloid ($A{\beta}$) positive from $A{\beta}$ negative with objectiveness and accuracy was proposed using a machine learning approach, such as the Principal Component Analysis (PCA) and Support Vector Machine (SVM). $^{18}F$-Florbetaben (FBB) brain PET images were arranged in control and patients (total n = 176) with mild cognitive impairment and AD. An SVM was used to classify the slices of registered PET image using PET template, and a system was created to diagnose patients comprehensively from the output of the trained model. To compare the per-slice classification, the PCA-SVM model observing the whole brain (WB) region showed the highest performance (accuracy 92.38, specificity 92.87, sensitivity 92.87), followed by SVM with gray matter masking (GMM) (accuracy 92.22, specificity 92.13, sensitivity 92.28) for $A{\beta}$ positivity. To compare according to per-subject classification, the PCA-SVM with WB also showed the highest performance (accuracy 89.21, specificity 71.67, sensitivity 98.28), followed by PCA-SVM with GMM (accuracy 85.80, specificity 61.67, sensitivity 98.28) for $A{\beta}$ positivity. When comparing the area under curve (AUC), PCA-SVM with WB was the highest for per-slice classifiers (0.992), and the models except for SVM with WM were highest for the per-subject classifier (1.000). We can classify $^{18}F$-Florbetaben amyloid brain PET image for $A{\beta}$ positivity using PCA-SVM model, with no additional effects on GMM.

• Biomedical Science Letters
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• 제24권4호
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• pp.418-425
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• 2018

Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the ${\beta}$-Amyloid ($A{\beta}$) deposition. We designed a convolutional neural network (CNN) model that predicts the $A{\beta}$-positive and $A{\beta}$-negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the $A{\beta}$-positive and $A{\beta}$-negative status.

• Journal of the Korea Convergence Society
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• 제12권11호
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• pp.127-134
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• 2021

This study was to analyze the convergence factors of influencing subjective happiness of oral health characteristics in adolescents. The data were analyzed using the 16th(2020) Korea Youth Risk Behavior Survey(n=54,948), logistic regression analysis was conduct. Subjective happiness were significantly different means by general characteristics(gender, grade, school record, economic status, residence type, suicidal ideation, drinking, smoking, mother's education) and oral health characteristics(number of toothbrushes, toothbrushing after lunch, experience of tooth break, pain and gingiva bleeding). Convergence factors affecting oral health characteristics on subjective happiness were number of toothbrushes(2times(OR=1.45), 3times(OR=1.53)), tooth brushing after lunch(OR=1.19), experience of sealant(OR=1.08), tooth pain(OR=0.73) and gingiva bleeding(OR=0.74). This study will be used as a basics data on the improvement of the subjective happiness in adolescents.

• Journal of the Korea Convergence Society
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• 제8권1호
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• pp.13-18
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• 2017

As the convergence technology is developing rapidly and the portable mobile devices are spreading in ubiquitous smart healthcare, users were able to get medical information easily through the smart health platform. According to such rapid industrialization, wellness care, aging society, information society, changes in disease aspects and life style, user-centered healthcare, and health promotion contents are being offered. In this study, we proposed the mining based mental health and blood pressure management service for the smart health. The proposed method provides the mental health management service and the blood pressure management service for chronic disease patients within the mining based smart health platform. Users receive optimized healthcare services regardless of time and place in the PHR based smart health platform. For the performance evaluation of the proposed mining based mental health and blood pressure management service, F-measure verification are conducted.

• Journal of the Korea Convergence Society
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• 제12권12호
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• pp.107-115
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• 2021

This study intends to provide basic data to determine the effect of walking days on quality of life and oral health-related behaviors. Data from the 2019 National Health and Nutrition Examination Survey were used, and complex sample linear regression analysis and logistic regression analysis were performed to determine the effect of walking days on health-related quality of life (EQ-5D) and oral health-related behaviors. As a result, controlling for demographic characteristics, and increasing the number of walking, the health-related quality of life decreased by .284 times (p<.05) and improved by 1.485 times for oral examination, .082 times for dental caries treatment, and .009 times for nerve treatment. a fold decrease (p<.05). Therefore, it can be used as basic data on the relationship between adult walking and oral health-related behaviors and quality of life, and it is considered valuable in that it suggests the relationship between walking and oral health as well as general health.

• Anatomy and Cell Biology
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• 제51권4호
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• pp.274-283
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• 2018

Hyper-O-GlcNAcylation is a general feature of cancer which contributes to various cancer phenotypes, including cell proliferation and cell growth. Quercetin, a naturally occurring dietary flavonoid, has been reported to reduce the proliferation and growth of cancer. Several reports of the anticancer effect of quercetin have been published, but there is no study regarding its effect on O-GlcNAcylation. The aim of this study was to investigate the anticancer effect of quercetin on HeLa cells and compare this with its effect on HaCaT cells. Cell viability and cell death were determined by MTT and terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick-end labelling assays. O-GlcNAcylation of AMP-activated protein kinase (AMPK) was examined by succinylated wheat germ agglutinin pulldown and immunoprecipitation. Immunofluorescence staining was used to detect the immunoreactivitiy of O-linked N-acetylglucosamine transferase (OGT) and sterol regulatory element binding protein 1 (SREBP-1). Quercetin decreased cell proliferation and induced cell death, but its effect on HaCaT cells was lower than that on HeLa cells. O-GlcNAcylation level was higher in HeLa cells than in HaCaT cells. Quercetin decreased the expression of global O-GlcNAcylation and increased AMPK activation by reducing the O-GlcNAcylation of AMPK. AMPK activation due to reduced O-GlcNAcylation of AMPK was confirmed by treatment with 6-diazo-5-oxo-L-norleucine. Our results also demonstrated that quercetin regulated SREBP-1 and its transcriptional targets. Furthermore, immunofluorescence staining showed that quercetin treatment decreased the immunoreactivities of OGT and SREBP-1 in HeLa cells. Our findings demonstrate that quercetin exhibited its anticancer effect by decreasing the O-GlcNAcylation of AMPK. Further studies are needed to explore how quercetin regulates O-GlcNAcylation in cancer.

• Journal of the Korea Convergence Society
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• 제11권4호
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• pp.295-301
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• 2020

This study is a secondary data analysis study to examine the relationship between oral health behaviors, quality of life, and depression in adult men using data of the first year (2016) of the 7th national health and nutrition examination survey. The analysis was conducted on 2,647 of above the age 19 in men. The data were analyzed using PASW Statistics 18.0. Results were positive correlation between the quality of life (EQ-5D) and oral health behavior (0.142, p <0.01), and a negative correlation with the depression (PHQ-9) (-0.347, p). <0.01). The higher the rate of oral health behavior, the higher the quality of life and the lower the depression. These findings suggest that the level of practice of oral health behavior is closely related to the quality of life and depression, this will be used as basic data for developing health policy for oral health and general health improvement for adult males.

• Journal of the Korea Convergence Society
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• 제9권6호
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• pp.339-346
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• 2018

The purpose of this study was to compare the health promoting behaviors between nursing students and general college students. The participants were 210 students(100 nursing students, 110 general college students). Data were collected by self-reported questionnaires and analyzed by SPSS/WIN 23.0 program. There were not significant differences between two groups in the health promoting behaviors(t=-0.489, p=625). But, significant differences were found in sub-categories of health promoting behaviors according to gender, taking health-related lectures, smoking, and perceived health status. Therefore, it is necessary to develop and intervene various health education programs in order to promote the health of university students in cooperation with universities and local community health organizations.

• Journal of the Korea Convergence Society
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• 제13권4호
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• pp.127-135
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• 2022

This study intends to provide basic data to confirm the convergence effects of economic activity on the quality of life and oral health of middle-aged Korean women. Data from the 2019 National Health and Nutrition Examination Survey were used, and complex sample logistic regression analysis and linear regression analysis were performed to confirm the effect of economic activity on health-related quality of life (Korean Health-related Quality of Life Instrument with 8 Items; HINT-8) and oral health-related factors. As a result, in the case of controlling for demographic characteristics and economic activity, there was a significant effect in 4 items (energy, work, memory, sleep) out of HINT-8. When the oral health status was adjusted, there was a significant effect only in 2 items (working and memory) of HINT-8 (p<.05). Therefore, although economic activity of middle-aged Korean women has a positive effect on quality of life, it is considered to be valuable in that oral health status can reduce the influencing factors.