基于光电容积脉搏波的血压测量实验研究

针对电子血压计不能实现血压的无创连续测量的问题,提出了一种基于光电容积传感技术和平稳小波算法的无创血压测量方法。利用搭建的光电容积脉搏波采集系统采集人体指尖的脉搏波信号,并进行了分析。通过SWT对脉搏波信号进行了分解,重构了第5层高频信号,提取了该重构信号的10个特征参数作为ANN的矢量输入,脉搏波对应的收缩压和舒张压作为ANN的矢量输出进行了训练拟合。实验总共分析了不同人群的10 700个脉搏波信号,利用其中的10 000个信号建立了特征参数与血压的模型,通过剩余的700个信号对建立的模型进行了测试,并且将测试误差与美国医疗器械促进协会(AAMI)规定的标准进行了比较。实验结果表明:通过该方法可实现血压的无创连续测量,为智能穿戴等健康监护设备中进行血压的实时监测提供一定的参考价值。

Blood pressure measurement based on photoelectric volume pulse wave

Aiming at the problem of non-invasive continuous measurement of blood pressure by electronic sphygmomanometer, the noninva-sive blood pressure measurement method based on photoplethysmography and Stationary wavelet transform ( SWT) was proposed. The signal acquisition system was built to acquire the pulse wave signal from the human fingertip. Then the pulse wave signal was decomposed by SWT to reconstruct fifth layer of high frequency signal. Ten characteristic parameters were extracted from the reconstructed signal as the input of ANN and the corresponding blood pressure as the output of ANN to train the model. A total of 10700 pulse wave signals in different popula-tions were analyzed. 10000 signals were used to build the model, and the rest 700 signals were used to test the model. The test error was compared with the standards set by the American Association for the Advancement of Medical Devices ( AAMI) . The results indicate that the method can achieve noninvasive continuous measurement of blood pressure and provide some reference value for the real-time monitoring of blood pressure in intelligent monitoring equipment.