• Journal of agricultural medicine and community health
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• v.27 no.1
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• pp.155-164
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• 2002

Hypertension is the most frequent disease of chronic circulatory diseases and major intermediate cause or risk of the cerebrovascular disease which is a leading cause of death in Korea. Therefore, management of hypertension is an important issue in Korean healthcare. Especially, therapeutic compliance of hypertensives is very important because the hypertensive patients should receive anti-hypertensive treatment as long as the condition exists. However, many patients drop out of treatment, which is a major problem that needs to be solved through a hypertension control program. This study was carried out to provide basic data and counter measule for the hypertension control program in the community which aimed to keep the patients receiving treatment continuously. In order to investigate compliance of hypertensive patients during three months follow-up and the rate of control of hypertension, the data were collected during February, 2001, by reviewing medical records of 295 hypertensive patients who had been registered to Gunnam-myeon health subcenter before November, 2000. The author also study the dropout reasons by interviewing 58 patients among 68 dropout patients. The results were as follows: 1. Among the 295 subjects, 108(36.6%) were male and 187(63.4%) were female. Statistically, female hypertensives had a higher mean age than male(64.6 vs 66.3, p<0.05). 2. The 54.9% of the patients took anti-hypertensive medicine continuously for the past three months. And 19.3% had drug intermittently, and 25.8% dropped out of treatment. 3. Among several variables, such as sex, age, health insurance, the time taken from a patient's village to the health subcenter, only the last one was found to be significantly related to therapeutic compliance in the contingency table analysis. 4. The dropout reasons by multiple response were as follows, 'no symptom or no problem' (23.9%), 'change to other hospitals'(19.4%), 'geographical barrier'(17.9%), 'change to a neighborhood drugstore' (14.9%), 'immobility'(7.5%), 'economic barrier'(6.0%), 'unsatisfactory services of the health subcenter'(4.4%). 5. The mean blood pressure of 295 subjects was $144.9{\pm}12.9/86.88{\pm}8.6mmHg$. 6. The 32.5% of the subjects were controlled below 140/90mmHg. Conclusions: In order to improve the low rates of treatment and control of hypertension in rural hypertensives, a more active and systematic hypertension control program, including out-reaching follow-up management, is required in rural area. Especially, for health education of hypertensive patients, emphasis should placed on correcting wrong attitude toward hypertension.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1222-1228
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• 2010

This paper presents a design of the CMOS LDO regulator with a fast transient response for a high speed PMIC(power management integrated circuit). Proposed LDO regulator circuit consists of a reference voltage circuit, an error amplifier and a power transistor. 2-stage wide-band OTA buffer between error amplifier and power transistor is added for a good output stability. Although conventional source follower buffer structure is simple, it has a narrow output swing and a low S/N ratio. In this paper, we use a 2-stage wide-band OTA instead of source follower structure for a buffer. From HSPICE simulation results using a $0.5{\mu}m$ CMOS standard technology, simulation results were 16 mV/V line regulation and 0.007 %/mA load regulation.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.63-70
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• 2013

This paper describes a high PSRR low-dropout(LDO) linear regulator for wide frequency range without output-capacitor. Owing to both of the cascode compensation technique and the current buffer compensation technique in nested Miller compensation loop, the proposed LDO not only maintaines high stability but also achieves high PSRR over wide frequency range with reasonable on-chip capacitances. Since the external capacitor is removed by the proposed compensation techniques, the cost for pad is eliminated. The designed LDO works under the input voltage range from 2.5V to 4.5V and provides up to 10mA load current with the output voltage of 1.8V. The LDO was implemented with 0.18um CMOS technology and the area is 300um X 120 um. The measured power supply rejection ratio(PSRR) is -76dB and -43dB at DC and 1MHz, respectively. The operating current is 25uA.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.4
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• pp.511-523
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• 2023

Research on the integration of unmanned aerial vehicles and deep learning for reinforced concrete damage detection is actively underway. Convolutional neural networks have a high impact on the performance of image classification, detection, and segmentation as backbones. The MobileNet, a pre-trained convolutional neural network, is efficient as a backbone for an unmanned aerial vehicle-based damage detection model because it can achieve sufficient accuracy with low computational complexity. Analyzing vanilla convolutional neural networks and MobileNet under various conditions, MobileNet was evaluated to have a verification accuracy 6.0~9.0% higher than vanilla convolutional neural networks with 15.9~22.9% lower computational complexity. MobileNetV2, MobileNetV3Large and MobileNetV3Small showed almost identical maximum verification accuracy, and the optimal conditions for MobileNet's reinforced concrete damage image feature extraction were analyzed to be the optimizer RMSprop, no dropout, and average pooling. The maximum validation accuracy of 75.49% for 7 types of damage detection based on MobilenetV2 derived in this study can be improved by image accumulation and continuous learning.

• Journal of Biomedical Engineering Research
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• v.45 no.4
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• pp.162-172
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• 2024

To analyse the overall research trends in digital therapeutics, this study conducted a quantitative bibliometric analysis of articles published in the last 10 years from 2014 to 2023. We extracted bibliographic information of studies related to digital therapeutics from the Web of Science (WOS) database and performed publication status, citation analysis and keyword analysis using R (version 4.3.1) and VOSviewer (version 1.6.18) software. A total of 1,114 articles were included in the study, and the annual publication growth rate for digital therapeutics was 66.1%, a very rapid increase. "health" is the most used keyword based on Keyword Plus, and "cognitive-behavioral therapy", "depression", "healthcare", "mental-health", "meta-analysis" and "randomized controlled-trial" are the research keywords that have driven the development and impact of digital therapeutic devices over the long term. A total of five clusters were observed in the co-occurrence network analysis, with new research keywords such as "artificial intelligence", "machine learning" and "regulation" being observed in recent years. In our analysis of research trends in digital therapeutics, keywords related to mental health, such as depression, anxiety, and disorder, were the top keywords by occurrences and total link strength. While many studies have shown the positive effects of digital therapeutics, low engagement and high dropout rates remain a concern, and much research is being done to evaluate and improve them. Future studies should expand the search terms to ensure the representativeness of the results.

• Child Health Nursing Research
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• v.7 no.3
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• pp.308-321
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• 2001

Behavior modification is an approach to decrease degree of obesity through changing maladaptive eating habit and life style. It produces small amount of weight loss but it has few side effects and low dropout rate. It also has great effectiveness on maintenance of decreased weight. This study was performed to investigate effects of behavior modification on physical variables, fat and thin habit, and self-esteem in obese elementary school children. Sixty two students of 4th, 5th, and 6th grade were selected from two elementary schools located in the suburbs of Seoul. Thirty four children in one school were assigned to experimental group and twenty eight children in another school were assigned to control group. All subjects were healthy and were not on any type of obesity control. Behavior modification, in this study, was consisted of introduction, self-monitoring and stimuli control, education about diet and physical activities, individual counseling and reinforcement, requesting personal assistance, cognitive restructuring, and closing and long-term planning. Experimental group was received 60～70 minutes of behavior modification once a week for 8 weeks from October 16 to December 22, 2000. Control group was not received any intervention. Data were collected before and after intervention by measuring physical variables, fat and thin habit, and self-esteem. Physical variables consisted of obesity index, skinfold thickness, body fat(percentage of body fat, fat mass, fat free mass), serum lipids(total cholesterol, HDL-C, LDL-C, triglyceride) and serum leptin. The results were as follows ; 1. physical variables 1) Obesity index of the experimental group was significantly decreased after behavior modification. But there was no significant difference between two groups. 2) The increase of skinfold thickness was significantly low in the experimental group compared to the control group. 3) Percentage of body fat and fat mass were significantly decreased in the experimental group. Fat free mass was significantly increased in the experimental group. 4) Total cholesterol, HDL-C, triglyceride and serum leptin between the experimental group and control group showed no significant difference. LDL-C was significantly decreased in the control group. 2. Thin habit score was significantly increased in the experimental group. In subcategories of habit, thin scores of life style, attitude, social relationship, nutrition were signifi- cantly increased in the experimental group. 3. Self-esteem score was significantly increased in the experimental group. These results indicate that behavior modification is effective in decreasing percentage of body fat and fat mass, in less increasing skinfold thickness and in increasing fat free mass, thin habit, and self-esteem. In conclusion, behavior modification can be used as safe and effective strategy for managing obesity in elementary school children.

• Journal of The Korean Society of Clinical Toxicology
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• v.19 no.2
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• pp.110-126
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• 2021

Purpose: The purpose of this study is to find out the current status of toxicology laboratory operated by six locations nationwide and to investigate the satisfaction of emergency medical professionals who working at local and regional emergency medical centers. Methods: This survey was conducted prospective. It was conducted on 665 emergency medical professionals working at regional and regional emergency medical centers across the South Korea. Among them, the analysis was conducted with data that 510 emergency medical professionals who respond to this survey. The questionnaire was conducted on an online basis for a month. To ensure statistical significance, consider a dropout rate of 10% based on a minimum response recovery rate of 70%. 506 people were selected for the survey. Results: According to a survey on the status of addiction analysis room usage, the average monthly usage of addiction test rooms among respondents were 406 cases.71.0 cases (17.4%) of toxicology laboratory in Seoul and 71 cases (17.4%) in Gwangju. 32 cases (7.8%), 118 cases (29.0%) requested by toxicology laboratory in Busan, and the toxicology laboratory in Daegu. Eighty two cases (20.1%), Daejeon area 25 cases (6.1%), Wonju area toxicology laboratory was 78 (19.6%). According to a survey on the satisfaction of the addiction analysis room,Seoul (4.9±2.71) and Gwangju (4.8±2.52) showed high satisfaction. Conclusion: Due to the limited operation time of the four addiction analysis rooms currently in operation, the satisfaction level of addiction analysis by emergency medical professionals in the area is low due to the delay until the result is notified.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.4
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• pp.25-37
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• 2021

Objectives: Reportedly, the main influential factors on students' adaptation to their college life were social support, stress, adaptation resilience, self-esteem, and satisfaction with their major. This study tried to find the actual influence of these factors on dental hygiene students, and to find an intervention plan for improving their adaptation to college life and preventing their dropout. Methods: An online questionnaire survey had been conducted with 270 dental hygiene students from June 21 to July 2, 2021. The collected data were analyzed with the use of SPSS Program Version 22.0. Results: Firstly, students living together with their family, those satisfied with their major, and those doing a club activity related to their major scored high points in terms of the adaptation to college life. In addition, the adaptation points were high in those whose school entrance motivation was arbitrary, and in those who entered in the dental hygiene department in consideration of their aptitude. Secondly, college life stress was high in those whose entrance motivation was in other persons' will, those who entered in the department due to their school record and occupation, rather than aptitude, those who were also doing a part-time job, and those whose economic level was low. Thirdly, adaptation resilience, social support, and self-esteem were high in those who were highly satisfied with their major, those who entered in the department in consideration of aptitude, and those whose economic level was high. Fourthly, the biggest influential factor on their adaptation to college life was college life stress, followed by self-esteem, satisfaction with major, and adaptation resilience in order. Conclusion: Given all the results, it is necessary to analyze dental hygiene students' levels of stress, self-esteem, social support, and adaptation resilience from the beginning of their entrance, and to operate a school life adaptation program in line with school years. If any customized support and training are given to these students to deal with a variety of stress situations resiliently and wisely and achieve their jobs successfully, it is expected to improve their self-esteem and adaptation resilience, and thereby increase their adaptation to college life.

• Journal of Society of Preventive Korean Medicine
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• v.5 no.2
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• pp.40-68
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• 2001

In this study, grade of subjective symptom appealed by laborer of Jeollabuk-do was evaluated using questionary regarding factor made effect on musculoskeletal disease and in addition, studied relationship with health promotion life style of them. Based on the result, relationship of general characteristics of musculoskeletal subjective symptom and life-style of the subjects was concluded as below. 1. General characteristics of study subjects were as following. Ratio of male was higher as 57.7% of male and 42.2% female and age distribution was 5.1% of 20s, 34.99% of 30s, 36.3% of 40s and 23.7% of 50s and therefore, $30{\sim}40$ aged groups showed highest ratio. Most subjects (74.9%) was married status and in case of education level, high-school graduate and dropout (23.3%) and over-college graduate (46.8%) showed highest distribution. $1{\sim}2$ Mil. KRW (29.5%) and $2{\sim}2.99$ Mil. KRW (21.2%) is the main income distribution and however there was high ratio of non-reply (29.0%). In case of employment period, $10{\sim}14$ years (15.3%) and over 15 years (29.6%) showed highest ratio and there were many non-reply (39.4%) and in addition, 67.6% replied as own house and 14.3% as lease on deposit base in question of residence type. 2. Subjects showed high ratio of subjective symptom appeal of 62.79% and many cases (50.23%) appealed 1 or 2 symptoms. Symptom by body region was 29.8% (waist), 27% (shoulder), 21.2% (knee), 15.5% (neck), 9.5% (ankle), 8.1% (wrist) and 5.0% (elbow) in order. In case of relationship with general characteristics, female comparing with male, non-residence of own house, subjects with lower education level and employment period of $10{\sim}14$ years showed higher appeal rate and kind of symptoms than others. Therefore, it was concluded that rate of musculoskeletal symptom appeal have close relationship with gender, level of living, education level, age and employment period. 3. In case of severe pain of upper body except waist and ankle, it was appealed in both or right side and it means that upper body pain is originated from right side and right region pain is transited to both region pain. In addition, there was 39.41% of non-reply to existence of right-left region pain and therefore, it was evaluated that, in may cases, there was no awareness of their own symptom condition even on subjective symptom. 4. Degree of pain was, as pain over middle level, evaluated as 2.79 on full mark of 4.0 and in order of waist (2.97), ankle (2.83), knee (2.82), wrist (2.82), neck (2.79), shoulder (2.70) and elbow (2.62). In addition, 71.97% appealed $2{\sim}3$ cases for the latest 1 week. Owing to subjective symptom, 54.95% drop into hospital or pharmacy, 10.32% made temporary retirement or absence, 7.99% transferred into more comfortable duty and $39.4{\sim}54%$ experienced one or more managing mentioned above. 5. Fulfillment of health promotion life style of subjects was evaluated on full mark of 4.0 and total score was 2.63. Average mark of each area was personal relationship (3.05), self-realization (2.92), stress management (2.63), health control (2.48), physical exercise (2.19) and nutrition management (2.19) and personal relationship was highest and physical exercise and nutrition management were lowest. As general characteristics influencing health promotion life style, gender, residence style and employment period showed significant difference. Male showed higher mark than female and showed higher mark in order of own house, others, lease on deposit base, monthly rent. Subjects with longer employment period showed higher mark with significant difference. 6. Accounting of factor influencing each area of health promotion life style, self-realization showed significance in marriage status, income, residence style and education level and health control in age, residence style and employment period. Physical exercise showed significant difference in gender, age, residence style and employment period and nutrition in gender, age, residence style and employment period. Stress management showed significant difference in residence style and employment period and however not in personal relationship. 7. Health promotion life style relating with existence and kind of pain showed significant difference in all area except personal relationship area. In absence of pain, there was statistically significant high score in all area even in total health promotion life style and all area. Accounting of kind of pain, cases of $1{\sim}2$ kinds of pain and $5{\sim}6$ kinds of pain showed relatively high score and it was lower than mark of subject stated absence of pain. 8. Subjects appeal symptom were classified by symptom region and difference of total and each areas were evaluated. General area (p=0.002), self-realization (p=0.012), health management (p=0.023), physical exercise (p=0.028), nutrition management (p=0.028) and stress control (p=0.001) showed statistically significant difference and not in personal relationship area. Especially, elbow, shoulder and neck area marked high and group appealed pain of knee, arm and elbow, foot and ankle marked low. Based on those results, subjective symptom should be accounted seriously in diagnosis of occupational musculoskeletal disease of laborer and among subjective symptom, general characteristics of gender, age, condition of living, education level and employment period make effect. Generally subject appeal symptom marked lower than subject without symptom appeal and it means that life management of subject appealing musculoskeletal pain make important role in management and treatment of occupational musculoskeletal disease.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.163-177
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• 2019

As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.