• 한국융합학회논문지
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• 제9권9호
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• pp.97-104
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• 2018

본 연구는 보건계열 전공 학생들의 의료용 인공지능에 대한 기대도를 조사하여 의료용 인공지능의 보건의료영역에서의 전반적 활용을 위한 기초자료로 이용하고자 충청남도 천안시에 소재한 일개 대학교 보건계열 전공 대학생들 500명을 대상으로 인공지능에 대한 인지도와 의료용 인공지능에 대한 신뢰도 및 활용에 대한 기대도를 조사하였다. 의료용 인공지능에 대한 인지도는 대상자의 18.6%가 높다고 응답하였고, 의료용 인공지능에 대해 신뢰도는 대상자의 24.8%가 높다고 응답하였으며 의료용 인공지능의 활용에 대한 찬성은 대상자의 38%가 그렇다고 응답하였다. 또한, 인공지능에 대한 인지도와 신뢰도가 높을수록 인공지능의 보건의료 활용에 대한 기대도도 높게 조사되었다. 이상의 결과로 볼 때 전공과정에서의 의료용 인공지능에 대한 교육은 인공지능에 대한 인지도와 신뢰도 및 기대도를 제고시켜 의료용 인공지능을 활용하는 효율적인 보건의료 환경 조성에 초석이 될 것으로 사료된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.250-252
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• 2006

Due to enhanced high IT (information technology) development, IT-based technology convergences such as IT/ET(electric technology), IT/BT(biology technology) and IT/NT(nano technology) are actively merging trend and their applications spread wide. In this paper PLC (power line communication), one of the merging IT, is investigated as one of the potential IT candidates for IT/ET and IT/BT convergence technology for DLC (direct load control) or bio-medical engineering such as ubiquitous health cares or D2H2 (distributed diagnosis and home health care).

• 융복합기술연구소 논문집
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• 제6권2호
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• pp.41-46
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• 2016

Based on Regional Industry Development Plan in 2014, machinery part industry and medical instrument industry has been designated as core industries of Chung-buk area. Machinery part industry plays an important role in economic growth of chung-buk area and it has been faced with signigicant changes - such as SMART factory and IoT(Internet of things). Also, medical instrument industry with 3D printing technology grows rapidly in Chung-buk area. It is believed that medical instrument could be next cash-cow items for Chung-buk area. In this paper, we survey, analyze and summarize the current machinery part industry and medical instrument industry focused on Chunk-buk Area.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.1163-1166
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• 2009

전 세계적으로 유헬스 서비스에 대한 관심도가 증가함에 따라 유헬스의 핵심기술 가운데 하나인 무선통신기반의 생체신호 전송기술에 대한 연구 또한 활발히 진행되고 있다. 특히 2000년대부터 시작하여 이미 많은 연구가 진행되어 온 WPAN에서는 Zigbee, Bluetooth, UWB 등의 무선대역을 통하여 생체 신호를 전송하는 연구가 상당히 진행되어 왔으며, 최근에는 IEEE 802.15.6 WBAN에서 MICS, WMTS등과 같은 무선대역을 이용하여 생체신호를 전송하기 위한 연구를 새로이 진행하고 있다. 특히 WLAN이 무선통신기술에 있어 1세대라 하고, WPAN이 2세대라 한다면 WBAN은 3세대 무선통신기술이라고 할 만큼 새로운 시장을 형성할 것으로 예상된다. 따라서 본 고에서는 기존의 WPAN과 최근에 이슈가 되고 있는 WBAN의 무선기술을 통해 생체신호를 전송하기 위한 기술을 분석하고 향후 연구해야 할 내용에 대해 언급하기로 한다.

• Journal of information and communication convergence engineering
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• 제4권3호
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• pp.97-100
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• 2006

In this paper, the transmission service for medical image is proposed via IEEE 802.15.4a on WPAN environment. Also, transmission and receiving performance of medical image using TH UWB-IR system is evaluated on indoor multi-path fading environment. On the results, the proposed scheme can solve the problem of interference from the medical equipment in same frequency band, and minimize the loss due to the indoor multi-path fading environment. Therefore, the transmission with low power usage is possible.

• 한국융합학회논문지
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• 제9권9호
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• pp.105-115
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• 2018

본 연구는 지방의료원의 문제점을 진단하고 향후 개선 방안을 강구하기 위하여 지방 전북에 소재하는 G의료원과 N의료원을 연구 대상으로 선정하였다. 조직 및 인력 현황, 예산 및 경영 현황, 진료실적, 공공사업 추진실적, 고객만족도 조사를 중심으로 분석하였다. 그 결과, 재정상황은 인력 면에서 민간병원이나 국립대학병원에 비해 의사인력을 충분히 확보하지 못하였으며, 재정상황은 두 의료원경우 부채를 가지고 있으며, 의료급여환자수는 G의료원은 의료급여 환자 수가 매년 증가하고 있지만 N의료원의 경우 오히려 감소하고 있는 것으로 파악되었다. 환자만족도 조사결과는, G의료원의 경우 전국 평균점수에 근사하였고 N의료원은 전국 평균에 비해 약간 낮았다. 의료원의 발전과 운영효율화에 필수적인 정책은 공공병원 정체성 확립, 우수 의료인력 확충, 병원특성화 및 연계진료체계 구축이다. 또한 공공서비스에 대한 국비와 지방비의 안정적인 재정적 지원책 확보와 장례업, 임대업, 국책사업의 위임을 통한 안정적 수익사업의 구축이 중요하다.

• 경영과학
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• 제31권4호
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• pp.107-116
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• 2014

Recently, various types of information and communication technology (ICT) such as cloud computing, big data, and virtual reality have been progressed in the world. Also, it is expected that there are many domestic and foreign visitors in Gangwon-do due to the Pyeongchang winter olympic games in 2018. In this environment, it is necessary to improve the competitiveness of Gangwon-do in winter sports areas exploiting both existing IT infrastructure and application technologies. In this paper, for sustainable development of Gangwon-do winter sports IT industry after the Olympics, we propose efficient implementation methods of 3 winter sports IT convergence services and Gangwon-do ICT activation strategy. The proposed 3 winter sports IT service areas are as follows. 1) Realistic winter sports IT service, 2) Winter sports medical IT service 3) Winter sports record analysis IT service.

• Current Optics and Photonics
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• 제5권5호
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• pp.554-561
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• 2021

Indocyanine green (ICG) is a cyanine dye that has been used in medical diagnostics based on fluorescence imaging, and in medical therapy based on the photothermal effect. It is important to systematically understand the photothermal effect and fluorescence characteristics of ICG simultaneously. By varying a number of conditions such as laser power density, laser irradiation wavelength, concentration of ICG solution, and exposure time of laser irradiation, the intensity properties of fluorescence and the temperature change induced by the photothermal effect are measured simultaneously using a charge-coupled-device camera and a thermal-imaging camera. The optimal conditions for maximizing the photothermal effect are determined, while maintaining a relatively long lifetime and high efficiency of the fluorescence for fluorescence imaging. When the concentration of ICG is approximately 50 ㎍/ml and the laser power density exceeds 1.5 W/cm², the fluorescence lifetime is the longest and the temperature induced by the photothermal effect rapidly increases, exceeding the critical temperature sufficient to damage human cells and tissues. The findings provide useful insight into the realization of effective photothermal therapy, while also specifying the site to be treated and enabling real-time treatment monitoring.

• BMB Reports
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• 제55권9호
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• pp.453-458
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• 2022

Diabetes mellitus (DM) is a serious disease in which blood sugar levels rise abnormally because of failed insulin production or decreased insulin sensitivity. Although many studies are being conducted for the treatment or early diagnosis of DM, it is not fully understood how mitochondrial genome (mtDNA) abnormalities appear in patients with DM. Here, we induced iPSCs from fibroblasts, PBMCs, or pancreatic cells of three patients with type 2 DM (T2D) and three patients with non-diabetes counterpart. The mtDNA mutations were detected randomly without any tendency among tissues or patients. In T2D patients, 62% (21/34) of iPSC clones harbored multiple mtDNA mutations, of which 37% were homoplasmy at the 100% mutation level compared to only 8% in non-diabetes. We next selected iPSC clones that were a wild type or carried mutations and differentiated into pancreatic cells. Oxygen consumption rates were significantly lower in cells carrying mutant mtDNA. Additionally, the mutant cells exhibited decreased production of insulin and reduced secretion of insulin in response to glucose. Overall, the results suggest that screening mtDNA mutations in iPSCs from patients with T2D is an essential step before pancreatic cell differentiation for disease modeling or autologous cell therapy.

• 스마트미디어저널
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• 제10권2호
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• pp.22-29
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• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.