• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.503-506
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• 2021

본 연구에서는 적은 힘으로도 누워있는 환자의 자세를 바꾸어 줄 수 있는 침대 모형을 만들었다. 시중에서 판매되고 있는 변형 환자 침대는 침대의 변형을 수동으로 바꾸거나 침대에 연결되어 있는 구동기로 단순히 환자의 자세를 바꿀 수 있다. 본 연구에서 만들어진 침대는 침대를 다리 하단 / 다리 상단 / 상체 파트로 나누어 따로 또 병렬로 자세를 바꿀 기능을 구현하였을 뿐 아니라, 스마트폰 앱에 의한 제어 구동도 가능하고, 편안한 자세를 이루는 각 파트의 각도를 편리하게 기억시킬 수 있고, 버튼 한번 누름으로 기억된 형태로 구성이 가능하다. 또 누워있는 환자가 관절을 사용하지 않아 굳는 형태를 방지하기 위한 운동 기능이 추가되어 파트별로 운동을 시킬 수 있도록 하였다.

• The Korean Chronic Disease News
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• no.314
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• pp.1-26
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• 2007

강원도 횡성군 보건소 염경숙 소장/대대적 국가암관리사업 추진/노인장기요양보험 3차 시범 내달 시행/만성질환 예방의식 고취 총력/65세 이상 노인 30%가 당뇨 환자/성인 3명 중 1명 중증 안구건조증 환자/“감 잘못 먹으면‘위석’생긴다”/방문보건.재가복지통합사업 성과 커/자율방역봉사단 구성 맞춤형 모기방제 실시/보건의료투자 전략, 어떻게 추진되나/고령친화 모델지역 기본 구상/생명표 작성, 국민건강실태 분석/

• Journal of rehabilitation welfare engineering & assistive technology
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• v.4 no.1
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• pp.71-80
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• 2010

This study developed the perspective model of behavior of physical therapists(PTs) and occupational therapists(OTs) who are dealing with confidential patient medical information in hospitals. Theory of planned Behavior(TpB) model, expanded models 1 and 2 that add habit, social pressure, and work convenience concept to TpB are tested for the validity in explaining the preposing factors that affect the behavior of PTs and OTs in ensuring the confidentiality of patient medical records. Data were collected by administrating a survey to the 120 PTs and OTs in A city. Of the 120 questionaries distributed, 110 were responded resulting 91.6% of response rate. There were not significantly different among the group classified by age, 'clinical career, gender, work family, and education level were analysis using with Independent t test and one-way ANOVA. The relationships on the concepts suggested in the models were analysed by applying the Structured Equations Modeling methods. The results of Structured Equations analysis showed that expanded model 2 was more effective model than TpB model and expanded model 1.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.680-684
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• 2020

최근 국내에서는 식품에 대한 관심도가 높아짐에 따라 먹거리에 건강·환경·미래지향적 가치가 부여되고 있으며 식품 산업에서도 신규 식품 개발이 증가하는 추세이다. 식단을 구성할 때 기준이 되는 식품교환표는 개정과정에서 많은 인력과 시간이 소요되기 때문에 식품 섭취 변화를 신속하게 반영하기 어렵다. 본 논문에서는 식품교환표의 활용도를 높이기 위한 식품교환표 갱신 기법을 제안한다. 제안 기법은 의사결정트리 모델을 학습하여 새롭게 추가된 식품의 정보를 바탕으로 식품군을 분류하여 식품교환표를 갱신한다. 이는 영양 관리가 필요한 당뇨병 환자 등에게 실용적이며 기호성·다양성이 높은 식단을 구성하는 데 도움을 준다.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.99-107
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• 2021

With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.10
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• pp.1237-1242
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• 2011

The A detailed 3D finite-element analysis model of a human foot has been developed by converting CT scan images to 3D CAD models in order to analyze the distribution of plantar pressure. The 3D foot model includes all muscles, bones, and skin. On the basis of this model and the pressure distribution results, shoes for diabetes patients, which can make the plantar pressure distribution uniform, may be designed through finite-element contact analysis.

• Korean Journal of Biological Psychiatry
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• v.6 no.1
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• pp.12-20
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• 1999

In order to understand the pathogenesis and progression of some synaptic loss related neuropsychiatric diseases, We attempted to develop a computer model in this study. We made a simple autoassociative memory network remembering numbers, transformed it into a disease model by pruning synapses, and measured its memory performance as a function of synaptic deletion. Decline in performance was measured as amount of synaptic loss increases and its mode of decline is sudden or gradual according to the mode of synaptic pruning. The developed computer model demonstrated how synaptic loss could cause memory impairment through a series of computer simulations, and suggested a new way of research in neuropsychiatry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1253-1263
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• 2015

The purpose of this study was to develop and examine a validity and reliability of an instrument to assess hospital workers' perception for protection of personal health information. The process included construction of a conceptual framework, generation of initial items, verification of content validity, preliminary study, and extraction of final items. Content validity was verified by 3 experts from nursing and health information management areas, and the construct validity was evaluated by item analysis, exploratory factor analysis and confirmatory factor analysis. The reliability was examined by Cronbach's alpha. The participants were 279 hospital workers including nurses, administrative officers, and other medical health professionals. Using a confirmatory factor analysis, a four-factor structure was validated with construct validity. The Cronbach's alpha coefficient of a total of 13 items categorized into 4 factors was .83. Finally, the instrument is a valid and reliable to assess hospital workers' perception for protection of personal health information.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.169-174
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• 2016

In this study, we evaluated the virtual reality model for dental implant surgery and discussed about the method to make the surgical environment for virtual reality with practical patient data. The anatomical model for patient face was fabricated by facial and oral scan data based on CT data. The simulation scenario was composed step by step fashion with Unity3D. From incision and sinus bone graft procedure which is needed to this patient model to implant installation and bone graft was included in this scenario. We used the HMD and leap motion for immersiveness and feeling of real operation. Twenty training doctor was attended this simulation study, and surveyed their satisfactory results by questionnaire. Implant surgery education program was showed the possibilities of educational tool for dental students and training doctors. Virtual reality for surgical education with HMD and leap motion had advantages, in terms of cheap prcie, easy access.

• Journal of the Korea Computer Graphics Society
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• v.28 no.1
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• pp.1-9
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• 2022

Non-small cell lung cancer (NSCLC) accounts for a high proportion of 85% among all lung cancer and has a significantly higher mortality rate (22.7%) compared to other cancers. Therefore, it is very important to predict the prognosis after surgery in patients with non-small cell lung cancer. In this study, the types of preoperative chest CT image patches for non-small cell lung cancer patients with tumor as a region of interest are diversified into five types according to tumor-related information, and performance of single classifier model, ensemble classifier model with soft-voting method, and ensemble classifier model using 3 input channels for combination of three different patches using pre-trained ResNet and EfficientNet CNN networks are analyzed through misclassification cases and Grad-CAM visualization. As a result of the experiment, the ResNet152 single model and the EfficientNet-b7 single model trained on the peritumoral patch showed accuracy of 87.93% and 81.03%, respectively. In addition, ResNet152 ensemble model using the image, peritumoral, and shape-focused intratumoral patches which were placed in each input channels showed stable performance with an accuracy of 87.93%. Also, EfficientNet-b7 ensemble classifier model with soft-voting method using the image and peritumoral patches showed accuracy of 84.48%.