Improvement of Blood Pressure Measurement Based on ECG and PPG

doi:10.12068/j.issn.1005-3026.2014.01.008

Abstract

Abstract: According to feature point detection algorithm with large computation of blood pressure measurement based on ECG and PPG， a feature point detection algorithm was proposed based on an improved difference method. The efficiency of the improved algorithm and the accuracy of the feature point detection had been largely improved. Through correlation analysis and regression analysis of the sampling data， the SBP(systolic blood pressure) had a strong correlation with PWTT(pulse wave transmit time)， but DBP(diastolic blood pressure) had a moderate correlation with PWTT. The experimental results indicated that using the improved algorithm， the PWTT could be calculated accurately， and then the SBP could be obtained. Also the deviation requirement could be met to noninvasive blood pressure measurement of AAMI.

Key words: ECG, PPG, blood pressure, feature point detection, correlation analysis, regression analysis

CLC Number:

TP274

XU Jiuqiang， LIN Hongji， LI Han， ZHAO Hai. Improvement of Blood Pressure Measurement Based on ECG and PPG[J]. Journal of Northeastern University Natural Science, 2014, 35(1): 33-37.

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