目的 针对目前加速度脉搏波特征点检测研究少的问题,本文提出一系列处理算法,并对加速度脉搏波关键点中的a、c两点进行了重点研究.方法 通过对加速度脉搏波采用防脉冲移动平均、小波滤波等方法预处理后,采取差分阈值与小波系数模极大值相结合的方法,对关键点位置进行检测.实验处理数据源于对15名在校学生采集的60组容积脉搏波,通过本文算法进行处理、检测和验证.结果 对于加速度脉搏波中关键点a、c两点的正确识别率达92%以上.结论 本文所述信号处理算法能够对脉搏波传播时间测量中的特征信号进行快速、准确的检出,为新型医疗监护设备的开发设计提供了技术支持.%Since the algorithms about the accelerated pulse point detection are rare, this paper proposes a series of processing algorithms, and especially focuses on a and c, the two key points. Methods After the pretreatments of a moving average method for preventing the impulse interference and wavelet filtering method, we take the combined method of difference threshold and wavelet modulus maxima arithmetic to detect the key point positions. Experimental data come from 60 groups of volume pulse waves of 15 students, and then are verified the dependability through the processing algorithms introduced in this paper. Results The correct rate of a and c points are above 92% . Conclusions This signal processing algorithms can realize the rapid and accurate detection for pulse wave propagation time measurement, and can provide certain technical support to the new medical equipment design.
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