김상현 교수
Sanghun Kim
연세대학교 건설환경공학과 · 사회과학
연구실 소개
김상현 교수의 연구실은 모바일 및 웨어러블 기반의 헬스케어 시스템 개발에 초점을 맞추고 있으며, 특히 고정된 환경이 아닌 일상 속에서 정확한 생체 신호(예: 맥박, 심전도)를 측정할 수 있는 기술적 솔루션을 연구하고 있습니다. 특히 움직임에 의한 노이즈를 보정하는 신호 보정 기술과 스마트 헤드밴드를 활용한 실시간 건강 상태 모니터링 시스템 개발에 주력하고 있습니다. 또한 의과대학 생애주기 내에서의 실패 경험과 학습 스타일 분석을 통해 교육적 지원 체계의 개선 방안을 모색하는 사회심리학적 연구도 함께 진행하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15The development of mobile wireless technologies hasgenerated a considerable amount of excitement amongpractitioners and academics because it results in shifting theacademic environment from traditional settings to mobilelearning (m-learning) settings. Increasing numbers ofinstitutions of higher education offer courses using mobilewireless technologies as alternative teaching and learningtools. However, regardless of such interests in mobilewireless technologies in higher education, there is lack
For the upcoming ubiquitous computing environments in the u-health areas involve the measurement of physiological signals in the daily life. However, the measurement of those signals, such as the photoplethysmorgraphy (PPG), and the electrocardiogram (ECG), requires being still tight during the measurement in order to get the accurate result preventing noises caused by the casual movement. In this paper, we propose a method to obtain the accurate physiological signals in the situation where the
Purpose: In medical school, where high-scoring students are respected, a student who fails is regarded as a feckless individual who cannot survive in a competitive atmosphere. This study aims to analyze the experiences of failure inmedical school students using a qualitative approach. Methods: In-depth, semi-structured interviews were conducted with nine medical students who had failed the program and became a repeater or failed to pass the Korean Medical Licensure Exam, and three former and p
Purpose: The purpose of this paper was to assess if there is a relationship between Kolb learning styles and learner variables including age, gender, and grade retention among medical students.
The wearable healthcare system should be not only small and easy for users to wear them but accurate in measuring physiological signals in daily life without any inconvenience. To meet these requirements, we propose the U-healthcare System which consists of a Smart Headband and a Health-state Monitor program. It can monitor the health-state in walking and running. The Smart Headband measures a photo-plethysmography (PPG) signal at the forehead for monitoring the heart rate and acceleration signa
PURPOSE: This study investigated the present conditions of clinical clerkship management in Korea to make recommendations for it. METHODS: The data were collected between April 15 and May 30 in 2009 using questionnaires that were sent to the clerkship directors of 41 colleges of medicine and medical graduate schools. RESULTS: The elective course system was established in 78% of the institutions; the 6 core specialties were found in all medical schools. The duration of clerkship was longest in in
The spectral analysis of heart valve sound is a noninvasive diagnostic method known to be useful in evaluating the state of the heart valve function. This may provide early detection of valve calcification, thrombus or destruction, since previous studies have shown that the dominant frequency peak moved to a high frequency area when natural heart valve leaflets were calcified, stiffened or destroyed. However, it is important for a heart valve sound diagnostic system to find a proper spectral ana
Purpose: This study investigated the present conditions of clinical clerkship management in Korea to make recommendations for it. Methods: The data were collected between April 15 and May 30 in 2009 using questionnaires that were sent to the clerkship directors of 41 colleges of medicine and medical graduate schools. Results: The elective course system was established in 78% of the institutions; the 6 core specialties were found in all medical schools. The duration of clerkship was longest in in
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