메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
장승완 (Soonchunhyang University) 김영 (Soonchunhyang University) 왕창원 (Soonchunhyang University) 호종갑 (Soonchunhyang University) 김대겸 (Soonchunhyang University) 민세동 (Soonchunhyang University)
저널정보
대한전기학회 전기학회논문지 전기학회논문지 제69권 제9호
발행연도
2020.9
수록면
1,400 - 1,407 (8page)
DOI
10.5370/KIEE.2020.69.9.1400

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
As we entered the aging society, personal health has become more important and various technologies for easier use of electrocardiograms (ECG) have been developed. According to the national statistics, heart disease is a major cause of death in Korea. Considering the risk factors and characteristics of heart diseases, constant monitoring of hear conditions is essential for the patients with cardiovascular diseases. This study designed and implemented a portable ECG measurement device (PEMD) that can monitor heart health in everyday life by wearing the device on a fingertip. To evaluate the performance of this portable heart health monitoring system, two different commercial sensors that measure heart rate and blood pressure were selected for correlation analysis. For the feasibility study experiment, 5 healthy volunteers in their 20s were recruited. To induce changes in the subjects’ heart rate (HR) and R-R interval time, 5 experimental conditions (at rest (C), right after running (E1), right after drinking a shot of espresso (E2), 10 minutes after espresso (E3), 20 minutes after espresso (E4)) were randomly selected for each subject. To evaluate PEMD’s detection performance of the R peak and R-R intervals in ECG signals, Bland-Altman plots and ANOVA were used to analyze the differences in the 5 conditions of 5 subjects. Results showed a very high consistency (95%) between the values measured by the three sensor devices, suggesting that PEMD and its monitoring system tested in this study are able to detect meaningful changes in HR, R peak, and R-R interval times after running on a treadmill and taking caffeine. Further study considering personal lifestyle and amount of daily coffee intake on more number of people together with higher level of signal processing and noise filtering functions of the sensor are needed.

목차

Abstract
1. 서론
2. 본론
3. 결과
4. 토의 및 결론
References

참고문헌 (12)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2020-560-001154155