• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (9): 88-92.

• 论文 • Previous Articles     Next Articles

Pulse Signal Denoising and Feature Point Extraction

CAI Xiao1,QIN Xiaozhen1,KANG Shuangshuang2   

  1. (1.Department of Control Science and Engineering,
    Huazhong University of Science and  Technology,Wuhan 430074;
    2.School of Information Engineering,China University of Geosciences,Wuhan 430074,China)
  • Received:2011-08-27 Revised:2011-11-21 Online:2012-09-25 Published:2012-09-25

Abstract:

By utilizing the wavelet transform which has an ability to reveal lowfrequency signal and highfrequency signal, the powerfrequency and baseline wander interference in pulse signal is eliminated.The signal period is detected with the reconstructed detail signal.Every pulse period can be drawn up with spline fitting.The feature points of the denoised signal are detected with the first derivative of the spline fitting function and the integral function.At last we find out the relationship between the feature of the pulse and the physiological significance.

Key words: pulse signal;wavelet transform;spline fitting;feature points of pulse signal