• 한국의학물리학회지:의학물리
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• 제33권4호
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• pp.136-141
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• 2022

Purpose: This study aimed to develop a breath control training system for breath-hold technique and respiratory-gated radiation therapy wherein the patients can learn breath-hold techniques in their convenient environment. Methods: The breath control training system comprises a sensor device and software. The sensor device uses a loadcell sensor and an adjustable strap around the chest to acquire respiratory signals. The device connects via Bluetooth to a computer where the software is installed. The software visualizes the respiratory signal in near real-time with a graph. The developed system can signal patients through visual (software), auditory (buzzer), and tactile (vibrator) stimulation when breath-holding starts. A motion phantom was used to test the basic functions of the developed breath control training system. The relative standard deviation of the maxima of the emulated free breathing data was calculated. Moreover, a relative standard deviation of a breath-holding region was calculated for the simulated breath-holding data. Results: The average force of the maxima was 487.71 N, and the relative standard deviation was 4.8%, while the average force of the breath hold region was 398.5 N, and the relative standard deviation was 1.8%. The data acquired through the sensor was consistent with the motion created by the motion phantom. Conclusions: We have developed a breath control training system comprising a sensor device and software that allow patients to learn breath-hold techniques in their convenient environment.

• 한국컴퓨터정보학회논문지
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• 제25권9호
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• pp.173-182
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• 2020

본 논문의 목적은 "인공지능(AI)+의료미용" 이라는 새로운 서비스 수단이 고객의 구매 의도에 미치는 영향하는 것이다. AI 의료뷰티 APP 마케팅 방식을 실증 연구로 한다. 본 논문은 SPSS 24.0 와 AMOS24.0 구조방정식 통계 소프트웨어를 이용하여 통계분석을 실시하였다. 분석방법은 신뢰성분석, 타당성분석, 구조방정식모형분석 등을 이용하였다. 실증연구를 통해 다음과 같은 결과를 얻었다. 1. AI의료용 뷰티 APP의 시스템품질은 유용성과 사용편의성에 긍정적인 영향을 미친다. 2. AI의료APP는 유용성과 사용 편의성에 긍정적인 영향을 미친다. 3. AI의료용 뷰티 APP는 인식된 유용성과 인식된 사용편의성에 긍정적인 영향을 미친다. 4. 소비자가 인식된 사용 편의성은 인식된 유용성과 구매 의지에 긍정적인 영향을 미친다. 5. 소비자의 유용성을 알리는 것은 구매 의사에 긍정적인 영향을 미친다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.298-299
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• 2002

WERC (Wakasa Wan Energy Research Center) has started the proton cancer therapy since June 2002. We use Hitachi 3D treatment planning (version 1.6) that can calculate the proton dose distribution by use of the pencil beam algorithm as well as the broad beam algorithm practically fast. This treatment planning software satisfies almost functions required in the proton therapy and includes some advanced techniques such as the 3D region glowing function that can search the target region three-dimensionally based on the CT-values. In this paper, we will introduce this planning system and present our evaluation from point of view of both clinical usage and QA.

• 한국응급구조학회지
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• 제23권1호
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• pp.71-85
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• 2019

Purpose: The purpose of this study was to provide basic data for developing strategic programs based on 119 emergency medical technicians leadership perception types. Methods: The subjects were thirty six 119 emergency medical technicians working for out-of hospital in Jeollanam-Do, Korea. Data were collected from July 20, 2017 to October 30, 2017. Q sample of 40 statements and P sample of 36 persons using PC QUANL software. Results: Three types of leadership styles were identified from the explanation (71.5% of the variables). The relationship oriented progressive type (the most common), the performance and value oriented type (the second most common), and the experience oriented filed participation type (the third most common). Conclusion: The fire department will need to develop and implemented leadership improvement programs based on the leadership types in order to meet the organization's goals.

• 대한의용생체공학회:의공학회지
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• 제30권4호
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• pp.279-287
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• 2009

Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging modality providing cross-sectional images of a conductivity distribution inside an electrically conducting object. MREIT has rapidly progressed in its theory, algorithm and experimental technique and now reached the stage of in vivo animal and human experiments. Conductivity image reconstructions in MREIT require various steps of carefully implemented numerical computations. To facilitate MREIT research, there is a pressing need for an MREIT software package with an efficient user interface. In this paper, we present an example of such a software, called CoReHA which stands for conductivity reconstructor using harmonic algorithms. It offers various computational tools including preprocessing of MREIT data, identification of boundary geometry, electrode modeling, meshing and implementation of the finite element method. Conductivity image reconstruction methods based on the harmonic $B_z$ algorithm are used to produce cross-sectional conductivity images. After summarizing basics of MREIT theory and experimental method, we describe technical details of each data processing task for conductivity image reconstructions. We pay attention to pitfalls and cautions in their numerical implementations. The presented software will be useful to researchers in the field of MREIT for simulation as well as experimental studies.

• Journal of Multimedia Information System
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• 제2권2호
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• pp.207-214
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• 2015

In this paper, we proposed new software for 3D rendering of MR images in the medical domain using C# wrapper of Visualization Toolkit (VTK) and Microsoft .NET framework. Our objective in developing this software was to provide medical image segmentation, 3D rendering and visualization of hippocampus for diagnosis of Alzheimer disease patients using DICOM Images. Such three dimensional visualization can play an important role in the diagnosis of Alzheimer disease. Segmented images can be used to reconstruct the 3D volume of the hippocampus, and it can be used for the feature extraction, measure the surface area and volume of hippocampus to assist the diagnosis process. This software has been designed with interactive user interfaces and graphic kernels based on Microsoft.NET framework to get benefited from C# programming techniques, in particular to design pattern and rapid application development nature, a preliminary interactive window is functioning by invoking C#, and the kernel of VTK is simultaneously embedded in to the window, where the graphics resources are then allocated. Representation of visualization is through an interactive window so that the data could be rendered according to user's preference.

• 센서학회지
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• 제15권6호
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• pp.417-424
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• 2006

An ubiquitous healthcare monitoring system for elderly person at home was designed for continuous healthy monitoring of elderly person or patients. Human vital signals, such as ECG and body temperature, were monitored by terminal PC or PDA via ECG and temperature sensor nodes on the patient's body. From the ECG data, the heart rate, tachycardia, bradycardia and arrhythmia were diagnosed on the terminal PC or PDA to assist doctor's or nurse's aid or patient itself to monitor the patient's condition and give medical examination. Artificial judgement support system was designed in server computer and the system support a doctor or nurser for management or treatment of the patient. This system can be applied to vital signal monitoring system for solitude elderly person at self house or home health care service part. And this ubiquitous healthcare system can reduce the medical expenses in coming aging or aged society.

• 한국의학물리학회지:의학물리
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• 제13권4호
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• pp.234-241
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• 2002

내측 측두엽 간질(mesial temporal lobe epilepsy)의 침습적 검사는 심부전극(depth electrode)을 이용한 진단이 정확하여 임상에서 이용되고 있다. 심부전극 삽입은 occipito-temporal route를 이용하는 방법이 많이 이용되고 있다. 본원에서는 occipito-temporal 경로를 심부전극의 삽입부위를 수 작업으로 계산하여 MRI에서 확인하고, 시행하였다. 그러나 MR 영상에서 frame과 cutting line 사이에 정확하게 수평ㆍ수직이 일치하지 않음으로 오차가 발생하고, 수 작업으로 계산하면 많은 시간이 소요되는 문제가 있었다. 본 연구에서는 MRI 촬영 후 기하학적 오차의 보정으로 정확한 계산을 즉시 시행하여, 바로 시술을 시행할 수 있도록 프로그램을 개발하였고, 17명의 환자에 적용하여 이 프로그램의 임상유용성을 확인하였다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.3-4
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• 2023

자연어처리는 수많은 정보가 수집된 전자의무기록의 비정형 데이터에서 유의미한 정보나 패턴 등을 추출해 의료진의 의사결정을 지원하고, 환자에게 더 나은 진단이나 치료 등을 지원할 수 있어 큰 잠재력을 가지고 있다. 그러나 전자의무기록은 개인정보와 같은 민감한 정보가 다수 포함되어 있어 접근하기 어렵고, 이로 인해 충분한 양의 데이터를 확보하기 어렵다. 따라서 본 논문에서는 신뢰할 수 있는 의료 합성 텍스트를 생성하기 위해 ChatGPT 기반 의료 텍스트 증강 도구를 개발하였다. 이는 사용자가 입력한 실제 의료 텍스트로 의료 합성 데이터를 생성한다. 이를 위해, 적합한 프롬프트와 의료 텍스트에 대한 전처리 방법을 탐색하였다. ChatGPT 기반 의료 텍스트 증강 도구는 입력 텍스트의 핵심 키워드를 잘 유지하였고, 사실에 기반한 의료 합성 텍스트를 생성할 수 있다는 것을 확인할 수 있었다.

• International Journal of Contents
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• 제15권4호
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• pp.97-106
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• 2019

EMI (English as a Medium of Instruction) classes are now accepted policy at Korean universities, yet students often struggle with required academic English writings. The present study examined an EMI class that used direct instruction and access to online assistive English writing software. From preliminary analysis, 26 students expressed interest in how an EMI academic writing class could facilitate improved English writing skills. Study participants completed a survey on self-efficacy and learning needs and assignments for an EMI academic writing class. To establish inter-rater reliability, three trained raters assessed the written essays of students prior to and after instructional intervention. Fleiss' Kappas statistics showed moderate reliability. Students' opinions on the use of online software were also analysed. Paired t-test was run on the quality of students' pre- and post-instruction assignments, and there was significant difference in the rated scores. Self-efficacy was found to have moderate positive association with improved post-essay writing scores.