메뉴 건너뛰기
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)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Sangji University) (Sangji University) (Sangji University) (Sangji University) (Sangji University) (Sangji University) (Neuronic) (Yonsei University) (Sangji University)
저널정보
한국자기학회 Journal of Magnetics Journal of Magnetics Vol.29 No.4
오류 신고하기

피인용 1

검색

    초록·키워드

    Hall elements that can detect magnetic fields changing according to the minute movements of a permanent magnet located above the wrist where the radial artery is embedded and photoelectronic devices that can detect changes in red blood cell light absorption according to variations in blood flow are utilized as medical sensors in digital healthcare diagnostic devices. The pulse waveform of the radial artery was measured using a magneto-plethysmogram (MPG), which is a clip-type pulsimeter, and the pulse waveform of blood flow was measured at the wrist and the ring finger using a photoplethysmogram (PPG). The spatial pulse wave velocity (SPWV) is calculated as the distance between MPG and PPG, denoted as L<sub>H</sub>, divided by the time difference, denoted as Δt. This value is approximately a few meters per second. Δt refers to the time difference between the peak values of the MPG and PPG waveforms. The spatial peripheral blood flow velocity (SPBFV) is calculated as the distance between the wrist and the fingertip, L<sub>H</sub>, divided by the time difference, denoted as Δτ, yielding a value of several tens of centimeters per second. In a preliminary study involving two participants in their twenties, the SPWV was approximately 1.2 m/s to 1.9 m/s, and the SPBFV between the radial artery at the wrist and the fingertip capillaries was about 19 cm/s to 25 cm/s. These results are believed to be influenced by the state of the vessels and blood flowing through the body. Based on big data obtained from simultaneous measurements of magneto-plethysmographic waveforms and photoplethysmographic waveforms using MPG and PPG, it is anticipated that an AI algorithm for diagnosing vascular and blood conditions in digital healthcare can be developed.

    최근 본 자료 전체보기

      UCI(KEPA) : I410-151-25-02-092104865