• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.1511-1512
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• 2013

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2012년도 제46차 하계학술발표논문집 20권2호
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• pp.409-410
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• 2012

본 논문에서는 스마트케어 서비스를 위해, Android 운영체제를 기반으로 하는 Device에서 ADK를 이용해 혈압계를 제어하는 방법을 제안한다. 이 방법은 소프트웨어와 하드웨어를 결합한 kit인 ADK를 사용하여 Hardware를 잘 모르는 사람들도 Android에서 Hardware의 GPIO에 좀 더 쉽게 접근하고 제어할 수 있어 보다 다양한 기능을 구현할 수 있다. 또한 이 방법으로 얻은 혈압계 데이터를 Database에 저장하여 데이터통신망을 통해 전문의에게 Feedback을 받음으로써 굳이 병원을 방문하지 않더라도 개인의 건강을 보다 편리하게 관리할 수 있어 한 단계 수준 높은 진단을 받을 수 있다.

• Journal of International Society for Simulation Surgery
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• 제3권2호
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• pp.49-59
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• 2016

3D printing is also known as additive manufacturing technique in which has been used in various commercial fields such as engineering, art, education, and medicine. The applications such as fabrication of tissues and organs, implants, drug delivery, creation surgical models using 3D printer in medical field are expanding. Recently, 3D printing has been developing for produce biomimetic 3D structure using biomaterials containing living cells and that is commonly called "3D bio-printing". The 3D bio-printing technologies are usually classified four upon printing methods: Laser-assisted printing, Inkjet, extrusion, and stereolithograpy. In the bio-printing, bio-inks (combined hydrogels and living cells) are as important components as bio-printing technologies. The presence of various types of bioinks, however, in this review, we focused on the bio-inks which enables bioprinting efficacy using hydrogels with living cells.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.156-156
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• 2006

• 대한의용생체공학회:의공학회지
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• 제43권4호
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• pp.259-270
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• 2022

Artificial intelligence (AI) has been studied in various fields of medical imaging. Currently, top-notch deep learning (DL) techniques have led to high diagnostic accuracy and fast computation. However, they are rarely used in real clinical practices because of a lack of reliability concerning their results. Most DL models can achieve high performance by extracting features from large volumes of data. However, increasing model complexity and nonlinearity turn such models into black boxes that are seldom accessible, interpretable, and transparent. As a result, scientific interest in the field of explainable artificial intelligence (XAI) is gradually emerging. This study aims to review diverse XAI approaches currently exploited in medical imaging. We identify the concepts of the methods, introduce studies applying them to imaging modalities such as computational tomography (CT), magnetic resonance imaging (MRI), and endoscopy, and lastly discuss limitations and challenges faced by XAI for future studies.

• 한국정밀공학회지
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• 제23권11호
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• pp.24-33
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• 2006

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.25-25
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• 2006

• Korean Journal of Acupuncture
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• 제27권4호
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• pp.49-57
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• 2010

Objectives : The aim of this study is evaluation for significance of skin meridian-acupoints energy measurement system, and is verification of principle to measure the bio-ion charge on acupoints. Methods : To check a correlation between the MEP(Meridian Energy Potential) and bio-electric charge condition, ten acupoints(left/right BL meridian : BL13, BL15, BL18, BL20, BL23) were chosen. Based on basic theory concerning the upward trend of the bio-electric charge by cupping therapy, we measured MEP change before and after 600mmHg(80kPa) Negative pressure stimulation using cupping. Results : We could identify the correlation between MEP and the condition of bio-electric charge in acupoints. Also, we checked the balance or imbalance of left/right the MEP and unusual cases. Conclusions : We confirmed significance of proposed principle and meridian energy measurement system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.557-558
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• 2006

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.563-564
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• 2006