基于ICA和EMD的生理信号提取.PDF

1 Computer Engineering and Applications ZHANG Yanfei OUYANG Jianfei YAO Lifeng 300072 State Key Lab of Precision Measuring Technology and Instruments Tianjin University,Tianjin,300072,China ZHANG Yanfei, OUYANG Jianfe, YAO Lifeng. Physiological signals extraction based on ICA and EMD Abstract: A new method for obtaining human physiological parameters is proposed. Useful signal is obtained from the color video of human face by color channels separation of face region and independent component anal- ysis (ICA). Then empirical mode decomposition (EMD) method is used to decompose the signal into intrinsic mode functions (IMFs) that can reflect the life information. According to the criterion of extraction, accurate heartbeat and respiration signals can be extracted from the IMFs. Finally, Bland-Altman method is applied to analyzing the experimental data. The results show that, this method is quite practicability and veracity. Keywords: physiological parameters; Independent Component Analysis(ICA); Empirical Mode Decomposi- tion(EMD); signal extraction ICA doi:10.3778/j.issn.1002-8331.1403-0319