• 센서학회지
• /
• 제19권3호
• /
• pp.169-175
• /
• 2010

Urinalysis is an important clinical test to diagnose urinary diseases, and dipstick method with visual inspection is widely applied in practice. Automated optical devices recently developed have disadvantages of long measurement time, big size and heavy weight, accuracy degradation with time, etc. The present study proposed a new computer scanning technique, in which the test strip and the standard chart were simultaneously scanned to remove any environmental artifacts, followed by automated differentiation with the minimum distance algorithm, leading to significant enhancement of accuracy. Experiments demonstrated an accuracy of 100 % in that all test results were identical with the human visual inspection. The present technique only uses a personal computer with scanner and shortens the test time to a great degree. The results are also stored and accumulated for later use which can be transmitted to remote locations through a network, thus could be easily integrated to any ubiquitous health care systems.

• 한국컴퓨터정보학회논문지
• /
• 제26권11호
• /
• pp.217-225
• /
• 2021

이 논문은 데이터 큐잉 알고리즘과 의약품 빅데이터를 통해 약품 성분-성분 간의 정보와 질병-성분 간의 정보를 지원함으로써 의약품 다약제 복용 시 부작용이 발생 가능한 약물 정보를 사용자에게 제공하기 위한 시스템을 제안하고 구현한다. 또한, 의약품 성분에 더하여 복용이 금지된 의약품, 공급업체, 유통업체의 정보 등을 제공함으로써 의료 전문가뿐만 아니라 일반 사용자의 의약품 복용에 대한 불안감을 덜어줄 수 있다. 제공되는 대표적인 정보는 두 가지 약물 사이에서 일어나는 부작용, 특정 의약품의 주성분과 효능, 동일한 제약회사에서 제조된 의약품, 만성 질환 환자가 주의해야 할 약품 성분 정보이다. 앞으로, 희귀병 약이나 신약에 대한 정보를 수집하여 데이터를 업데이트하는 것이 필요하다.

• 전자통신동향분석
• /
• 제34권5호
• /
• pp.14-25
• /
• 2019

As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.

• 한방재활의학과학회지
• /
• 제31권4호
• /
• pp.87-103
• /
• 2021

Objectives The purpose of this study was to investigate the development process and describe the diagnosis methods, theories and treatments of Mongolian traditional medicine and Korean traditional medicine through literature records and prior studies. Methods Literature records and previous studies on traditional medicine of both countries were collected through various sites in Mongolia (Esan, Mongoliajol, Kok, Yumpu, Scribd, Science and Technology Foundation [STF]) and Korea (Koreanstudies Information Service System [KISS], Korea Institute of Science and Technology Information [KISTI], National Digital Science Library [NDSL], Research Information Sharing Service [RISS], Oriental Medicine Advanced Searching Integrated System [OASIS]). Also the English database was searched through PubMed. In the case of Mongolian traditional medicine, medical books published in Mongolia were mainly referenced and used for research. Results Studying the development process, basic concepts and the system of diagnosis and treatment of the two traditional medicine, several commonalities and differences were revealed. Conclusions This study showed that the scope of diagnosis methods between Mongolian and Korean traditional medicine were slightly different, and that the medical terminology for the diagnosis method had slightly different contents from each other. Although there were many similarities in treatments of Mongolian and Korean traditional medicine, the Chuna therapy is found in Korean traditional medicine only. The basic theories constituting traditional medicine were the same, but the five-element theory used by the two countries differs in the following two factors. Mongolia uses elements of air and space as the theory of five elements, while Korea uses elements of wood and iron.

• 국제물리치료학회지
• /
• 제12권1호
• /
• pp.2261-2266
• /
• 2021

Background: Deep learning related research works on website medical images have been actively conducted in the field of health care, however, articles related to the musculoskeletal system have been introduced insufficiently, deep learning-based studies on classifying orthopedic manual therapy images would also just be entered. Objectives: To create a deep learning model that categorizes cervical mobilization images and establish a web application to find out its clinical utility. Design: Research and development. Methods: Three types of cervical mobilization images (central posteroanterior (CPA) mobilization, unilateral posteroanterior (UPA) mobilization, and anteroposterior (AP) mobilization) were obtained using functions of 'Download All Images' and a web crawler. Unnecessary images were filtered from 'Auslogics Duplicate File Finder' to obtain the final 144 data (CPA=62, UPA=46, AP=36). Training classified into 3 classes was conducted in Teachable Machine. The next procedures, the trained model source was uploaded to the web application cloud integrated development environment (https://ide.goorm.io/) and the frame was built. The trained model was tested in three environments: Teachable Machine File Upload (TMFU), Teachable Machine Webcam (TMW), and Web Service webcam (WSW). Results: In three environments (TMFU, TMW, WSW), the accuracy of CPA mobilization images was 81-96%. The accuracy of the UPA mobilization image was 43~94%, and the accuracy deviation was greater than that of CPA. The accuracy of the AP mobilization image was 65-75%, and the deviation was not large compared to the other groups. In the three environments, the average accuracy of CPA was 92%, and the accuracy of UPA and AP was similar up to 70%. Conclusion: This study suggests that training of images of orthopedic manual therapy using machine learning open software is possible, and that web applications made using this training model can be used clinically.

• 한국멀티미디어학회논문지
• /
• 제25권5호
• /
• pp.757-768
• /
• 2022

In this paper, we proposed a system that visualizes a hologram device in 3D by utilizing the CT image segmentation function based on artificial intelligence deep learning. The input axial CT medical image is converted into Sagittal and Coronal, and the input image and the converted image are divided into 3D volumes using ResUNet, a deep learning model. In addition, the volume is created by segmenting the tumor region in the segmented liver image. Each result is integrated into one 3D volume, displayed in a medical image viewer, and converted into a video. When the converted video is transmitted to the hologram device and output from the device, a 3D image with a sense of space can be checked. As for the performance of the deep learning model, in Axial, the basic input image, DSC showed 95.0% performance in liver region segmentation and 67.5% in liver tumor region segmentation. If the system is applied to a real-world care environment, additional physical contact is not required, making it safer for patients to explain changes before and after surgery more easily. In addition, it will provide medical staff with information on liver and liver tumors necessary for treatment or surgery in a three-dimensional manner, and help patients manage them after surgery by comparing and observing the liver before and after liver resection.

• 동서간호학연구지
• /
• 제28권2호
• /
• pp.179-189
• /
• 2022

Purpose: Based on the results of Grandey's Emotion Regulation Process Model and previous studies, this study was conducted to identify the relationship between emotional labor, communication competency, emotional intelligence, social support, and burnout, and to identify factors affecting burnout of nurses in outpatient department. Method: The participants were 190 nurses with more than six months of experience working at the outpatient department of a general hospital in Seoul. Data were collected from April 5 to May 28, 2021, and analyzed using SPSS/WIN 25.0. Results: Significant variables affecting burnout were emotional labor, communication competency, emotional intelligence, education, and total clinical experience. Social support showed a statistically significant negative correlation with burnout, but did not affect burnout. Burnout showed a statistically significant a positive correlation with emotional labor, and showed a negative correlation with communication competency, emotional intelligence and social support. We found a negative correlation between burnout and subjective health status. Emotional labor had a positive effect on burnout. Emotional intelligence, clinical experience for more than 10 years, communication competency, and education for masters or higher negatively affected burnout, respectively. They accounted for 49.2% of the total variance of burnout. Conclusion: Based on the results of this study, it is necessary to reduce emotional labor, one of the major predictors of burnout for outpatient care. In order to prevent emotional labor that results in burnout, an integrated program that improves emotional intelligence and communication competency should be developed.

• 한국방사선학회논문지
• /
• 제17권4호
• /
• pp.565-572
• /
• 2023

본 연구에서는 국내 공공 부문에서 실시하고 있는 의료기관 평가 중 영상검사와 관련된 현황을 살펴보고 개선 방향을 제시하고자 하였다. 의료기관 평가 중 영상검사와 관련된 주요 평가는 의료기관 인증평가와 영상검사 적정성 평가가 있으며, 의료기관 인증평가에서는 영상검사 운영과정, 정확한 결과 제공, 안전관리 절차 준수 등을 평가하고 있다. 영상검사 적정성 평가에서는 인력, 장비와 관련된 구조 지표, 환자평가 실시율, 피폭 저감 프로그램 등이 포함되어 있었다. 하지만 좀 더 안전하고 질 높은 영상검사를 위해서는 의료기관의 인증평가 참여율을 높이는 방안 마련이 필요하며, 영상검사 적정성 평가의 인력지표 개선과 인센티브 지급에 대한 고려도 필요하다. 마지막으로 국가 차원의 방사선 노출 통합관리도 함께 병행되어야 할 것이다.

• Journal of Veterinary Science
• /
• 제25권1호
• /
• pp.13.1-13.9
• /
• 2024

Background: Foot-and-mouth disease (FMD) is a highly contagious viral disease in livestock that has tremendous economic impact nationally. After multiple FMD outbreaks, the South Korean government implemented a vaccination policy for efficient disease control. However, during active surveillance by quarantine authorities, pig farms have reported an insufficient antibody positivity rate to FMD. Objective: In this study, the spatial and temporal trends of insufficiency among pig farms were analyzed, and the effect of the number of government veterinary officers was explored as a potential preventive factor. Methods: Various data were acquired, including national-level surveillance data for antibody insufficiency from the Korea Animal Health Integrated System, the number of veterinary officers, and the number of local pig farms. Temporal and geographical descriptive analyses were conducted to overview spatial and temporal trends. Additionally, logistic regression models were employed to investigate the association between the number of officers per pig farm with antibody insufficiency. Spatial cluster analysis was conducted to detect spatial clusters. Results: The results showed that the incidence of insufficiency tended to decrease in recent years (odds ratio [OR], 0.803; 95% confidence interval [95% CIs], 0.721-0.893), and regions with a higher density of governmental veterinary officers (OR, 0.942; 95% CIs, 0.918-0.965) were associated with a lower incidence. Conclusions: This study implies that previously conducted national interventions would be effective, and the quality of government-provided veterinary care could play an important role in addressing the insufficient positivity rate of antibodies.

• 한국엔터테인먼트산업학회논문지
• /
• 제14권7호
• /
• pp.141-160
• /
• 2020

본 연구는 장기화에 따른 코로나19의 세계적 대유행에 대비하고자 노년기의 건강증진을 위한 체육의 활성화 방안을 구체적으로 모색하는 데 목적이 있다. 아울러 문헌연구방법을 통해 노년기의 건강상태와 코로나19 관련 분석, 노년기의 건강증진 정책과 사업 제시, 그리고 코로나19 시대의 건강증진을 위한 노인 체육 활성화 방안을 제시하였다. 첫째, 국민체육진흥법과 노인복지법 및 관련 법 등의 개정 또는 전면 개정을 통해 노인건강을 위한 노인보건 및 노인체육의 발전적이고 융합적인 법 제정과 이에 따른 제도적인 장치 마련을 수립해야 할 것이다. 둘째, 한국판 뉴딜 종합계획에 착안하여 체육 분야 뉴딜 사업의 일환으로 노인들을 위한 디지털통합플랫폼을 구축하여 노년층에 맞는 시설-프로그램-정보-일자리 창출 등이 연계되도록 지원 시스템을 마련해야 할 것이다. 셋째, 노인복지 전문가를 육성한다. 대학에서의 노인체육 및 관련학과를 확대 개설하고 노인여가복지시설 등에 노인스포츠지도사를 의무적으로 배치해야 할 것이다. 넷째, 노년층을 위한 건강과 관련한 콘텐츠를 개발한다. 이는 가상현실(Virtual Reality: VR) 시뮬레이션을 통한 움직임을 조작하여 다양한 동작들을 수행함을 의미한다. 다섯째, 노인체육 및 관련 분야 연구개발에 투자를 확대한다. 이는 다학제간 통합적 협력연구를 통해 체계적이고 실용적인 건강한 노화 및 활기찬 노화 등에 대한 연구가 지속적으로 이루어져야 함을 의미한다. 여섯째, 국무총리실 산하에 노인관리청(노인건강청) 신설 운영을 촉구한다. 이는 전 생애적인 노인건강관리와 언텍트 및 뉴노멀 시대에 대응하는데 노인관리청 신설을 통해 노인의 건강증진 관련 기능 수행의 독립성을 보장하고 아울러 노년기의 건강증진, 일상생활 기능의 유지 및 재활, 사회적 적응, 장기요양의 문제 등을 모두 포함하여 종합적으로 운영이 되어야 한다.