• Journal of the Korea Convergence Society
• /
• v.13 no.4
• /
• pp.147-154
• /
• 2022

This paper evaluated visual function and stereoacuity function after surgery for intermittent exotropia. Subjects of this study were 18 patients (male: n = 10, female: n = 8) mean aged 12.06±5.43 years diagnosed with intermittent exotropia who underwent strabismus surgery. Of these subjects, 72.2% of the subjects underwent strabismus surgery once and 27.8% had it twice. Visual function and stereoacuity function were tested for these subjects. For data analysis, frequency analysis, cross analysis, and correlation analysis were used, and statistical significance was set at p<.05. Regarding the deviation state after strabismus surgery, exodeviation accounted for the most(72.2%), followed by diplopia(50.0%) and suppression(33.3%) for distance sensory fusion. Regarding near sensory fusion, fusion(50.0%) accounted for the most, followed by diplopia(44.4%). After strabismus surgery, subjects with distance stereoacuity blindness were the most at 61.1% and there were no subjects with a normal range of 40-60 arcsec. Near stereoacuity blindness subjects accounted for 33.3% and subjects with 40-60 arcsec accounted for 1.1%. Even after surgery for intermittent exotropia, there were some areas that did not improve in deviation state, stereoacuity, or sensory fusion. Therefore, it is necessary to manage and control strabismus through non-surgical methods before and after surgery for intermittent exotropia.

• Journal of the Korea Convergence Society
• /
• v.13 no.2
• /
• pp.55-65
• /
• 2022

The purpose of this paper was to investigate the relationship between cybersickness symptoms and visual function and to determine whether visual perception training is effective in reducing symptoms of cybersickness. The study subjects were healthy adult males who experienced the same virtual reality program for 15 minutes. Afterwards, the VR satisfaction score and cybersickness level were measured and classified into a comfortable virtual reality program viewer group (CVR group, 20 people) and an uncomfortable virtual reality program viewer group (UVR group, 20 people). Visual function test was performed on all subjects, and the vision therapy training program was applied to the UVR group once a week for 40 minutes 12 times, and then the visual function and SSQ questionnaire were re-evaluated. Subjects with diplopia were 55% in the UVR group and 5% in the CVR group, which was significantly higher in the UVR group, there were differences in stereopsis, exophoria, near point convergence(p<.01) and vergence function(p<.001) between the two groups. After vision therapy, changes in SSQ, stereopsis, near point convergence, and vergence function of UVR user group were positively changed(p<.01). Therefore, cybersickness symptoms are related to visual function, it seems that the vision therapy can be used as a way to alleviate the symptoms of cybersickness.

• Journal of Digital Convergence
• /
• v.13 no.11
• /
• pp.149-156
• /
• 2015

Due to a change of food culture, many patients suffering from various diseases such as hypertension, heart disease, stroke, cancer. However, it takes a long time in the hospital for many patients due to the administration before the patient care process. In this paper, we propose a m-Healthcare service model that patients can receive medical services without the inconvenience offers by reducing the administrative hospital treatment that can automatically recognize through the hospital installed RFID readers when the patient patients with various diseases are foreign to the hospital. In particular, the proposed model improves the operational efficiency of the existing healthcare system by shortening the treatment time for medical personnel to help patients in emergency situations can determine automatically the patient's status does not give the disease type and condition of the patient to health care personnel. Test results, service latency, efficiency, etc. patient satisfaction, and evaluate the existing health care system model results, the proposed method was improved service delay existing techniques average 16.5% efficiency was higher 27% of patients service satisfaction was improved by 22.4% on average.

• Journal of Digital Convergence
• /
• v.10 no.10
• /
• pp.363-372
• /
• 2012

The purpose of this study was to investigate drinking habits of employees and to provide basic descriptive data for effective drinking prevention programs, therapies and rehabilitation services for the health improvement of employees. Data were collected from 500 employees living in Gangwondo, from June 12 to August 25, 2010. The collected data were analyzed by the SPSS 10.1 program. The mean score of positive views on alcohol was 2.93 and the mean score of negative views on alcohol was 3.18. Among alcohol abuse people who answered 'yes' on more than 2 variables out of 4 CAGE variables were 25.1% of the subjects. Problem drinkers with more than 8 points from AUDIT accounted for 64.8% of the subjects. The most common disease due to alcohol drinking was gastrointestinal tract disease. The result of this study suggests that it is necessary to maintain the atmosphere to improve drinking culture and to develop for drinking preventive educations and implementations for employees in farming and fishing communities.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.153-162
• /
• 2018

The technology of mobile healthcare is steadily growing, but acceptance of consumers is sluggish. Various studies related to mobile healthcare have been conducted, but studies on the characteristics of prisoners are lacking. Therefore, in this study, we examined the effect of diffusion factors of mobile health care on the intention to use, and examined the moderating effect of innovation propensity. The results show that the relative advantage, compatibility, observability, and usefulness of mobile health care affect the intention to use. In addition, the innovation propensity has a moderating effect on the influence of complexity, trialability, and usafulness on intention to use. This study suggests that the use of the concept of innovation propensity has been confirmed as a major control variable in the relationship between innovation diffusion factors and utilization intention. In addition, it suggests that consumers' innovation tendency is a factor to be taken into consideration for suppliers of mobile healthcare.

• Journal of Digital Convergence
• /
• v.14 no.10
• /
• pp.319-326
• /
• 2016

Recently multicultural female population is increasing of our country as international marriages increase. With oral care programs, conducting follow-up surveys on multicultural women's oral health condition to figure out the condition and examining improvements and related factors, it tried to contribute to building oral care programs for the future of multicultural families. The study participants were recruited from multi-cultural family center in a metropolis, they were treated their oral conditions at local dental clinics during a year. All participants were 608 people, and among them, one year follow-up sample was 40 women. An interview questionnaire was used to collect information on socioeconomic level and general characteristics related to oral status, through oral examination were conducted to obtain dental caries experience and periodontal conditions. The statistical analysis was done by using the SPSS 20.0 program. Comparing the results between before and after oral health program for an year, DMFS, DS, FS, DT, FT and CPI were significantly decreased during a year. The present study increases interest about multicultural women and family and we look forward to using it as basic data for oral health promotion.

• Journal of Digital Convergence
• /
• v.15 no.3
• /
• pp.221-228
• /
• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.

• Journal of Digital Convergence
• /
• v.14 no.4
• /
• pp.239-249
• /
• 2016

In this study, the personality type of youths was divided into 4 areas: Open, Blind, Hidden and Unknown, and the four different types were analysed according to the impact on smartphone addiction. The survey was conducted on 406 middle school students in Jeonbuk province to assess the relationship between smartphone addiction of youth and the personality type. The results of this study are as follows: First, the difference of smartphone addiction in youth between genders is not large, but males were largely affected by tolerance, while females by difficulty of daily living. Second, the differences of smartphone addiction between grades found that difficulty of daily living and tolerance had a statistically significant impact. Third, the result of co-relationship between the Johari window type of mind and smartphone addiction showed that blind type and unknown type had a statistically significant positive relationship but open type had a negative impact. Finally, analysis of variables about whether a type of mind affected smartphone addiction showed that there was a relationship. The most serious type of addiction to smartphones showed in hidden type and unknown type. Therefore in developing programs to treat smartphone addiction it should seek specific measures to help these groups.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.249-255
• /
• 2019

Type 2 diabetes mellitus(T2DM) is included in metabolic disorders characterized by hyperglycemia, which causes many complications, and requires long-term treatment resulting in massive medical expenses each year. There have been many studies to solve this problem, but the existing studies have not been accurate by learning and predicting the data at specific time point. Thus, this study proposed a model using RNN to increase the accuracy of prediction of T2DM. This work propose a T2DM prediction model based on Korean Genome and Epidemiology study(Ansan, Anseong Korea). We trained all of the data over time to create prediction model of diabetes. To verify the results of the prediction model, we compared the accuracy with the existing machine learning methods, LR, k-NN, and SVM. Proposed prediction model accuracy was 0.92 and the AUC was 0.92, which were higher than the other. Therefore predicting the onset of T2DM by using the proposed diabetes prediction model in this study, it could lead to healthier lifestyle and hyperglycemic control resulting in lower risk of diabetes by alerted diabetes occurrence.

• Korean Journal of Food Science and Technology
• /
• v.54 no.3
• /
• pp.288-296
• /
• 2022

This study aimed to verify the effect of Citrus unshiu peel water extract (CUP) on a mouse model of acute gastritis (AG) induced by HCl/ethanol. Several studies have found that CUP has anti-inflammatory effects. The AG model was induced by oral administration of 150 mM HCl/60% ethanol (550 µL) to all groups except the control group. Also, for drug treatment, sucralfate (10 mg/kg) and CUP (100 or 200 mg/kg) were orally administered for 90 minutes before induction. The effect of CUP treatment was confirmed by gross gastric mucosal damage measurement, and the levels of Glutamic Oxaloacetic Transaminase (GOT), Glutamic Pyruvic Transaminase (GPT), and myeloperoxidase were reduced as well as the levels of oxidative stress biomarkers and their related proteins. In addition, the levels of inflammatory proteins, mediators, and cytokines were significantly downregulated byPI3K/Akt signaling. Taken together, these results show that CUP treatment alleviates AG by regulating PI3K/Akt signaling.