DocumentCode :
2445056
Title :
An automatic pulse wave velocity estimation using a blood pressure sensor for invasive measurement
Author :
Choi, Junghyeon ; Park, Junho ; Cho, Jongman
Author_Institution :
Dept. of Biomed. Eng., Inje Univ., Gimhae
fYear :
2008
fDate :
Nov. 30 2008-Dec. 3 2008
Firstpage :
539
Lastpage :
542
Abstract :
The compliance and stiffness of artery are closely related to the disease of arteries. Pulse wave velocity (PWV) in the blood vessel is a basic and common parameter in the hemodynamic. Blood pressure (BP) and blood flow wave traveling in arteries are important because the PWV is affected directly by the condition of blood vessels. However, there is no standardized method to measure the PWV and it is difficult to measure. The conventional PWV measurement uses 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 BP 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 BP is determined by using differentiation of the BP 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.
Keywords :
biosensors; blood pressure measurement; electrocardiography; haemodynamics; pressure sensors; ECG signal; automatic pulse wave velocity estimation; blood flow waves; blood pressure sensor; coronary arterial proximal; feature extraction; hemodynamics; invasive measurement; Arteries; Blood pressure; Blood vessels; Diseases; Electrocardiography; Hemodynamics; Pressure measurement; Pulse measurements; Strain measurement; Velocity measurement; blood pressure sensor; invasive measurement; pulse wave velocity; regression method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing Technology, 2008. ICST 2008. 3rd International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-2176-3
Electronic_ISBN :
978-1-4244-2177-0
Type :
conf
DOI :
10.1109/ICSENST.2008.4757164
Filename :
4757164
Link To Document :
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