Objective Oscillometric method and its improved methods are the main methods of the existing electronic sphygmomanometer to determine the blood pressure.The pulse waveforms are different when patients have different physical conditions.The above methods cannot always able to find the corresponding pressure value.This paper intends to use the pulse wave data collected from the clinical to complete the relative blood value prediction based on the support vector regression (SVR) method.Methods We chose 6581 clinical blood samples collected by Omron electronic sphygmomanometer as experimental data,of which about 3/4 samples used as training set.Their waveforms are arbitrary.SVR uses the statistical information of blood samples to predict blood pressure.Results For more than 95% of the test samples,the error range of blood pressure is ［-3%,3%］.The result shows the effectiveness of the method.Conclusions Experimental results show the feasibleness and effectiveness of SVR for radial artery blood pressure prediction.