Abstract:

The current clinical measurement of BP(Blood Pressure) is mostly based on the intermittent type, and cannot get rid of the shackles of the inflatable cuff. On the basis of measuring blood pressure by pulse wave characteristic parameter method, a measurement based on SVM(Support Vector Machine) regression is proposed to realize continuous blood pressure measurement. Taken the pulse wave for the main object of study and extract their feature points, divided the pulse wave according to these feature points, then the time domain characteristics of pulse wave were obtained. To find the relationship between arterial blood pressure and these characteristics, a regression model based on SVM was established. The experimental results show that this method can measure continuous blood pressure well, the average error of BP measurement are all less than 0. 67 kPa, and the standard error are all less than 1. 07 kPa, this can meet the standards of the AAMI(Association for the Advancement of Medical Instrumentation).

Key words: arterial blood pressure, pulse wave, feature point detection, support vector machine(SVM), regression