• Journal of Digital Convergence
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• v.10 no.10
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• pp.363-372
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• 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
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• v.12 no.1
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• pp.501-510
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• 2014

Purpose: The purpose of this study was to compare urban-rural differences on influencing factors of health related quality of life(HRQoL) of the elderly in senior center. Methods: The subjects were 902 older adults (571 from urban areas, 331 from rural areas). Data were collected using a questionnaire from 20 July to 31 August, 2011. The SPSS/WIN program was used for data analysis. Results: For older adults of urban areas, the influencing factors of HRQoL were depression, age, subjective health, drinking, number of chronic disease, and smoking. On the other hand, the influencing factors of HRQoL of older adults of rural areas were depression, subjective health, number of chronic disease, and educational level. The significant factors of HRQoL were depression, subjective, and number of chronic disease in both urban and rural areas. Conclusion: Public health nurses should consider urban-rural differences when designing HRQoL enhancing program for the elderly in senior center.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1573-1582
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• 2011

Risk of lung cancer among lung-related diseases has gradually increased during last decades. The chest digital radiography is the primary diagnosis method for lung cancer. Diagnosing lung cancer using this method requires doctors of ripe experience. Despite their experience there are often wrong diagnoses, which decrease early diagnosis and survival rates of patients. The aim of this study was intended to establish the base on the Computer Aided Diagnosis (CAD) by analyzing Image Recognition Algorithm using Principle component Analysis (PCA) and diagnosing patient's chest X-ray image. The database obtained through this approach enables a doctor to significantly reduce misdiagnosis during the early diagnosis stage, if he or she utilizes it as the preliminary reading step. Case studies were carried out using normal organ, and organs suffering from bronchogenic carcinoma and granuloma. A normal image and unique disease images were extracted after PCA analysis, and their cross-recognition efficiency were compared each other. The result revealed that the recognition rate was much high between normal and disease images, but relatively low between two disease images. In order to increase the recognition efficiency among chest diseases the related algorithms have to be developed continuously in the future study, and such effort will establish the resolute base for CAD.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.397-406
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• 2008

Despite the effectiveness of oriental medical practice in the diagnosis of symptoms and providing cure to it, the preferences in western medicinal values is socially prevalent. The diagnosis of a disease using western medicinal practices provides us with an objective diagnostic result, however, decisions by oriental doctors are based on their heuristic intuitions developed by practice and experience. Objective solutions for the cure of symptoms using oriental medical therapy can have a high impact on the world market. Therefore, development of diagnostic machines based on oriental therapy can enhance the Ocular Inspection which is evaluated as one of the best diagnostic treatment among Oriental Medical Science, is not researched much compared to other diagnoses. Because there is no color diagnosis rules for digital machines to analyze the actual color, looking at the person's face color is one of the most important components to diagnose the disease or illness. The thesis proposes the implementation of absolute observing a person's face color standards of the color settings for objective diagnosis. As a results, comparative digital color analysis for observing a person's face color can be the most effective rule based Color scheme system to diagnose disease. A standard solution for the researching conditions is suggested to reduce the variable which may occur depending on the differences between the researching conditions.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.257-263
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• 2020

This study was conducted to improve the quality of National Health Policy by analysing the effects of sociodemographic characteristics, Medical institutions characteristics and characteristics of Admission-Discharge on the length of stay in hospital for schizophrenic patients from the data of Health Insurance Review & Assessment Service. The subjects were 4,692 patients who were diagnosed with schizophrenia as main diagnosis from the data records of HIRA-NIS 2016. Regression analysis was performed to evaluate the effect on the length of stay. Sociodemographic characteristics, hospital characteristics and characteristics of Admission-Discharge were used as explanatory variables and length of stay in hospital was used as a dependent variable. The result of study showed that female, age, medical aid, the kind of hospital, gangweon-do and with mental disease were found to be the factors that affect the length of stay. The significance of this study is to use the public data for evaluating factors that affect the length of stay in hospital for schizophrenic patients. But this study did not consider disease severity, so further study is needed for evaluation of the effects of factors on the length of stay according to disease severity.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.235-251
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• 2019

The purpose of this study was to investigate the single-person household's demand for a wearable healthcare system that provides the ischemic heart disease and cardiopulmonary alarm to be developed. In this study, in-depth interviews were conducted with six unmarried individuals in their thirties who were in the workplace and the results were interpreted by Giorgi's phenomenological analysis method. The study results indicated that although the wearable healthcare system was implemented with high-technology functions that serve the intended purpose, it is necessary to comprehensively consider factors such as aesthetics, comfort, and ease of washing. In this study, we found that the variables influencing the interviewees' intent to accept healthcare services are complex and cannot be attributed to one factor alone; this study has also shown a variety of interpersonal correlations. In addition, although health-care research focusing on the elderly has been conducted in the past, it is suggested that younger generations such as those in their thirties can also be studied as health care service adopters.

• Journal of Korean Society of Forest Science
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• v.100 no.3
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• pp.374-381
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• 2011

The purpose of this study is to examine the possibility of early detection of Pine Wilt Disease (PWD) using NDVI (Normalized Difference Vegetation Index) from ADC (Agricultural Digital Camera) imageries. The PWD induces the different patterns of reduction of NDVI between healthy trees and infected trees, due to the withered leaves on the infected trees. Based on these phenomena, the DI showing the NDVI variations of trees by time series was employed to detect the infected trees. To find out the differences of DI level between normal and infected trees, DIs of trees from May to August in 2007 were calculated and these were analyzed with GLM (General Linear Models) in SAS 9.2. As a result, the difference of DI between in June and August shows the most significant level (0.0001). The discriminant analysis was performed between normal and infected trees, using the DI of June and August. As the result, hit ratio of trees and the accuracy of grouping with Jack-knife method were shown 71.9% and 73.5%, respectively. These results showed that the DI is effective to detect the trees infected by the PWD and it is useful to prevent the PWD.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.154-160
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• 2019

In this paper, we propose the miniaturization size of wearable Range of Motion(ROM) and a system that can be connected with smart devices in real-time to measure the joint movement range dynamically. Currently, the ROM of the joint is directly measured by a person using a goniometer. Conventional methods are different depending on the measurement method and location of the measurement person, which makes it difficult to measure consistently and may cause errors. Also, it is impossible to measure the ROM of joints in real-life situations. Therefore, the wearable sensor is attached to the joint to be measured to develop a miniaturize size ROM device that can measure the range of motion of the joint in real-time. The sensor measured the resistance value changed according to the movement of the joint using a load cell. Also, the sensed analog values were converted to digital values using an Analog to Digital Converter(ADC). The converted amount can be transmitted wireless to the smart device through the wearable sensor node. As a result, the developed device can be measured more consistently than the measurement using the goniometer, communication with IoT-based smart devices, and wearable enables dynamic observation. The developed wearable sensor node will be able to monitor the dynamic state of rehabilitation patients in real-time and improve the rapid change of treatment method and customized treatment.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.245-249
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• 2006

In the rapidly changing high-tech society, lots of people are exposed to various kinds of stress and disease with an effort to adopt to the society, in spite of the benefits and abundance created by various technologies. Therefore, the health of modem people is our main concern and essential subject. The researcher would like to suggest systematical and intelligent medical diagnosis expert system that can give the effect same as the help from real experts with health check helper and scientific and objective knowledge that fit to the age and environment of changing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.7
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• pp.1287-1294
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• 2001

As size of waveform is very small, ECG(electrocardiogram) signal is difficult to analyze for noise which is occurred when it measures. In order to obtain ECG clearly, it must eliminate that power line interference, baseline wandering, noise of muscle constriction. In ECG, the worst problem which is recorded signal of ECG is the baseline wandering elimination, which is occurred by rhythm of respiration and muscle constriction of part from attaching to an electrode. Such the baseline is roughly irregular wandering and shaking up and down therefore the part of the baseline wandering elimination is very important because it is difficulty of ECG diagnosis. In this study, as implementation of real-time signal processing digital filter it is applicable to analyze patient's heart disease by way of design of the baseline wandering elimination system.