Key points Recognition of Pulse Wave Based on Wavelet Transform
central aortic blood pressure is a vital sign to evaluate humans vascular condition, it is more accurate than ordinary brachial artery blood pressure. The tradition measuring method is depended on cardiac catheter invasion. The procedure is dangerous and invasive; therefore noninvasive central aortic blood pressure estimating is a key issue in medical diagnosis. The most important procedures of estimating are based on key points recognition of pulse wave. A strategy of recognition was proposed in the paper, it combines the wavelet transform and differential transformation to detect different key points of pulse wave. The third grade of Coifl wavelet transform was used to detect point c, and the rest of key points were searching by differential transformation by zero crossing method. From experiments, the method can detect the key points accurally.
Pulse wave Key points Wavelet transform Differential
Qingjun Huang Gang Zheng Guodong Yan Min Dai
Laboratory of Biological Signal and Intelligent Processing Tianjin University of Technology Tianjin 300384, China
国际会议
上海
英文
1765-1768
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）