Share Email Print
cover

Proceedings Paper

Pulse signal de-noising based on wavelet transform and coherent averaging method
Author(s): Ruirui Zhao; Liquan Dong; Yuejin Zhao; Ming Liu; Lei Yang; Ding Zhang; Jingsheng Zhao; Jinhui Xing
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A new method of pulse signal de-noising based on wavelet transform and coherent averaging method is proposed. Pulse signal is complex and weak, generally submerged by the interference of baseline drift, motion artifact and high frequency noise. Consequently, it’s difficult to measure the heart rate by processing only one single-channel pulse signal, especially when the noise frequency and the pulse signal frequency are in the same frequency range. In this paper, multichannel pulse signal processing based on wavelet transform and coherent averaging is proposed to solve the above problem. First, the detail coefficients and approximation coefficients of each channel signal are obtained by N layer wavelet decomposition, then reconstructing the signal with high layers coefficients as the high frequency noises always exist in low layers coefficients. In this way we can filter out the high frequency interference. Second, the centerline of the upper and lower envelope curve obtained by cubic spline estimation is subtracted from each reconstructed signal so as to eliminate the baseline drift completely. Finally, the heart rate is acquired with the coherent averaging method which results in the noise being offset each other and the pulse signal being enhanced in the frequency range of pulse wave. The pulse signal and three kinds of noise signals simulated with the superposition of different frequency sin signal were analyzed, besides the experiment of six channel pulse signals measured simultaneously based on PhotoPlethysmoGraphy (PPG) were conducted. The simulation and experiment results showed that this method was superior to the traditional single channel.

Paper Details

Date Published: 23 December 2013
PDF: 9 pages
Proc. SPIE 9043, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, 90430J (23 December 2013); doi: 10.1117/12.2034463
Show Author Affiliations
Ruirui Zhao, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Ming Liu, Beijing Institute of Technology (China)
Lei Yang, Beijing Institute of Technology (China)
Ding Zhang, Beijing Institute of Technology (China)
Jingsheng Zhao, 152 Central Hospital of the People's Liberation Army (China)
Jinhui Xing, State Intellectual Property Office (China)


Published in SPIE Proceedings Vol. 9043:
2013 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing
Yi Dong; Xiaoyi Bao; Chao Lu; Xiangjun Xin; Xuping Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top