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맥파 전달 속도(PWV) 측정을 위한 특징점 검출 알고리즘 개발
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  • 맥파 전달 속도(PWV) 측정을 위한 특징점 검출 알고리즘 개발
저자명
최정현,조욱현,박준호,김남훈,성향숙,조종만,Choi. Jung-Hyeon,Cho. Wook-Hyun,Park. Jun-Ho,Kim. Nam-Hoon,Seong. Hyang-Sook,Cho. Jong-Man
간행물명
Journal of sensor science and technology
권/호정보
2011년|20권 5호|pp.343-350 (8 pages)
발행정보
한국센서학회
파일정보
정기간행물|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

The compliance and stiffness of artery are closely related with disease of arteries. Pulse wave velocity(PWV) in the blood vessel is a basic and common parameter in the hemodynamics of blood pressure and blood flow wave traveling in arteries because the PWV is affected directly by the conditions of blood vessels. However, there is no standardized method to measure the PWV and it is difficult to measure. The conventional PWV measurement has being done by manual calculation of the pulse wave transmission time between coronary arterial proximal and distal points on a strip chart on which the pulse wave and ECG signal are recorded. In this study, a pressure sensor consisting of strain gauges is used to measure the blood pressure of arteries in invasive method and regular ECG electrodes are used to record the ECG signal. The R-peak point of ECG is extracted by using a reference level and time windowing technique and the ascending starting point of blood pressure is determined by using differentiation of the blood pressure signal and time windowing technique. The algorithm proposed in this study, which can measure PWV automatically, shows robust and good results in the extraction of feature points and calculation of PWV.