The Realization of CWT for Physiological Signals

Author:

Ye Guang Jian1,Xin Mai1,Wang Wei Feng2

Affiliation:

1. Lanzhou University of Technology

2. Air China

Abstract

Purpose: We do it to remove the clutters and overcome the limitations on resolution of STFT method, head to improve the accuracy and timeliness on heart sound analysis. Method: We recommend CWT filtering theory, then design algorithm based on the theory and use the way of LabVIEW2011 to program for achieving in the application. Result: We have successfully used the CWT filtering method to carry out clutters. Conclusion: Using the method described above can achieve the goal for the optimization of the heart sound signal processing.

Publisher

Trans Tech Publications, Ltd.

Reference9 articles.

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2. Yu Deping and Wu Jimin, Application of low-frequency signals to imaging of deep layers in subbasalt areas, Journal of Hohai University, JCR-SCI, vol. 34(1): 83-87, (2006).

3. Li Shaoli, Heng Yuekun, Method for improving the time resolution of a TOF system, Chinese Physics C, vol. 1: 80-85, (2013).

4. Chen Meiqin, Transient Test for MEMS Switch of Cantilever Beam Under Electrostatic-mechanical Couping, Modern Machinery, vol. 6: 60-68, (2012).

5. Liu Zenghua and Xie Xiaodong, Experimental Research on Circumferential Guided Wave Scanning Imaging of Thick Wall Pipes Based on Continuous Wavelet Transform, Chinese Journal of Mechanical Engineering, vol. 2: 14-19, (2013).

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