Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (10): 1-6.doi: 10.3969/j.issn.1000-565X.2010.10.001

• Electronics, Communication & Automation Technology •     Next Articles

Extraction Algorithm of Vital Signals Based on Empirical Mode Decomposition

Feng Jiu-chao  Pan Shui-yang   

  1. School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2009-12-31 Revised:2010-03-08 Online:2010-10-25 Published:2010-10-25
  • Contact: 冯久超（1964-），男，教授，博士生导师，主要从事数字信号处理研究． E-mail:fengjc@scut．edu.cn
  • About author:冯久超（1964-），男，教授，博士生导师，主要从事数字信号处理研究．
  • Supported by:

    国家自然科学基金资助项目（60872123）; NSFC-广东省自然科学联合基金资助项目（U0835001）

PDF

1575

Abstract:

As the conventional FFT-based extraction algorithm of vital signals for the through-wall detection radar（TWDR） is insufficient in handling non-stationary signals and is sensitive to respiration harmonic interference,a novel method to extract vital signals is proposed based on the empirical mode decomposition（EMD）.In this method,the vital signal accepted by the radar is decomposed into several intrinsic mode functions（IMFs） via the EMD,and the IMF components describing the structural characteristics of the vital signal are used to reconstruct respiration and heartbeat signals in the time domain.Simulated results indicate that the proposed method helps to extract heartbeat signals with high accuracy because it effectively eliminates the interference of respiration harmonics.

Key words: vital signal, signal extraction, Doppler radar, empirical mode decomposition