Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Development of Feature Points Detection Algorithm for Measuring of Pulse Wave Velocity

맥파 전달 속도(PWV) 측정을 위한 특징점 검출 알고리즘 개발

  • Received : 2011.09.01
  • Accepted : 2011.09.14
  • Published : 2011.09.30
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Abstract

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.

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References

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