• Proceedings of the Korean Society of Life Science Conference
• /
• 2006.09a
• /
• pp.59.1-59.1
• /
• 2006

• Proceedings of the Korean Society of Life Science Conference
• /
• 2006.09a
• /
• pp.76.2-76.2
• /
• 2006

• Proceedings of the Korea Information Processing Society Conference
• /
• 2016.04a
• /
• pp.883-886
• /
• 2016

본 논문에서는 장기투약자의 복약 관리 시스템 개발의 기초 연구로 Textile proximity pressure sensor를 개발하였고, 약통의 무게 감지를 통하여 약의 복용 여부를 판별하는 연구를 수행하였다. 실험은 총 2가지로, 약의 개수에 따른 baseline검출 실험과 약 한알의 무게 도출 실험을 수행하였다. 잡음을 제거하기 위해 5 point의 이동평균필터(MAF: Moving average filter)를 적용하였다. 본 논문을 통해 얻은 결과는 차후 장기 투약이 필요한 환자로 하여금 규칙적으로 약을 복용하도록 하여 만성질환의 완치율을 높이는 데 기여할 수 있을 것으로 판단된다.

• Proceedings of the KOSOMBE Conference
• /
• v.1993 no.05
• /
• pp.125-128
• /
• 1993

We have developed MITS(Medical Information Transmission System) that captures, stores and manages the digitalized medical images and transmit them via LAN, and also have developed DSCW(Dedicated System for Clinical Ward) that enables to review the medical images and clinical laboratory test results transmitted via LAN at clinical ward. They were implemented on the 386 platforms, and interconnected via 10 Mbps LAN between department of radiology and clinical ward.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.10a
• /
• pp.790-791
• /
• 2018

방사광 X-ray 이미징 기술은 샘플의 고감도 및 고해상도 3차원 해부구조를 규명하는데 매우 유용하다는 장점이 있다. 따라서 이러한 방사광을 이용해 사람의 조갑병변 연구를 위한 동물모델로서 마우스 조갑의 내부 미세구조를 관찰하였고 상대적으로 구분이 명확하고 의학적으로 의미론적인 구조물을 3D로 가시화하여 조갑 구조 해석에 새로이 활용될 가능성을 확인하고자 하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1369-1371
• /
• 2015

본 논문은 전도성섬유 압력센서로 보행신호를 획득하고 걷기, 서기, 앉기, 계단오르기, 계단내려오기 등 총 5가지 행동을 인식하는 시스템을 개발하는 것이 목적이다. 시스템은 Capacitive pressure 센서, CDC(Capacitive to Digital Converter), 마이크로프로세서, 블루투스 모듈, 스마트 폰으로 구성되고 획득한 데이터 패턴을 분류한 결과 평균 99.5%의 높은 인식률을 보였다. 각 발당 한 개의 채널만을 이용해 행동패턴을 인지함으로써 적은 수의 채널로도 행동인지의 가능함을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.565-566
• /
• 2024

본 연구는 서울시의 우울증 진단 경험률 통계 데이터를 분석하여 지역별 우울증 발생 패턴과 인구 통계적 특성을 파악하고자 하였습니다. 결측치 처리와 이상치 조정을 통한 데이터 전처리 후, 연령대와 성별, 교육 수준 등 다양한 변수에 따른 우울증 진단률의 분포를 탐색적 데이터 분석을 통해 시각화하였습니다. 특히 여성과 고령 인구에서 높은 우울증 경험률을 관찰하였으며, 이를 통해 맞춤형 정신건강 개선 방안을 제시하고자 하였습니다. 본 연구는 정책 입안자와 보건 전문가들에게 유용한 인사이트를 제공하고, 효과적인 우울증 관리 및 예방 전략 개발에 조금이라도 기여할 것으로 기대됩니다.

• Journal of Korea Multimedia Society
• /
• v.21 no.8
• /
• pp.934-941
• /
• 2018

There are some limits on cost and efficiency for large amount of data in RDBMS, and NoSQL is starting to gain popularity. In medical institutions, data forms are different between organizations, and that makes difficulty for interoperability between organizations. In this paper we focused on performance issues between RDMBS and NoSQL in medical documents. We had built two different environment and had experiment comparative analysis of NoSQL with RDBMS based on medical data. We used medical HL7 FHIR as a medical data standard. Also YCSB benchmark tool was used for performance comparison. Experiments shows that NoSQL has better performance in large amounts of medical data processing systems that have over 10,000~100,000 records.

• Proceedings of the KIEE Conference
• /
• 2008.04a
• /
• pp.73-74
• /
• 2008

In this study, we developed a robotic gait trainer which induces the active gait training based on predefined continuous proper lower extremity joint movements. AC servo motors and linear actuators were used to control hip and knee joints of patients and the weight support system was used to support the patient's weight during the gait training. We also implemented a Gill program to set the gait training pattern with several training parameters and to confirm states of patients and the system through the visual feedback. The effectiveness of the gait training system will be determined by the long-term clinical experiments in the future. We expect that the developed robotic gait training system could be applied very practically to recover gait abilities for persons with gait disorder.

• Journal of Biomedical Engineering Research
• /
• v.26 no.3
• /
• pp.145-150
• /
• 2005

A new gait detection system using both FSR (force sensing resistor) sensors and a gyrosensor was developed to detect various gait patterns. FSR sensors were put in self-designed shoe insoles and a gyrosensor was attached to the heel of a shoe. An algorithm was also developed to determine eight different gait transitions during four gait phases: heel-strike, foot-flat, heel-off and swing. The developed system was evaluated from nine heathy mans and twelve hemiplegic patients. Healthy volunteers were asked to walk in various gait patterns: level walking, fore-foot walking and stair walking. Only the level walking was performed in hemiplegic patients. The gait detection system was compared with a optical motion analysis system and the outputs of the FSR sensors. In healthy subjects, the developed system detected successfully more than $99\%$ for both level walking and fore-foot walking. For stair walking, the successful detection rate of the system was above$97\%$. In hemiplegic patients, the developed system detected approximately 98% of gait transitions. The developed gait phase detection system will be helpful not only to determine pathological gait phases but also to apply prosthetics, orthotics and functional electrical stimulation for patients with various gait disorders.