De-noising Method Research of Ballistocardiogram Signal_Journal of Biomedical Engineering

Authors：

 YANGDan , XUBin , YELinlin , JINJingjing

School of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

Corresponding author：

YANGDan, Email: yangdan@mail.neu.edu.cn

Keywords：

ballistocardiogram signal; empirical mode decomposition; adaptive optimal kernel; de-noising

DOI：

10.7507/1001-5515.20140259

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Ballistocardiogram (BCG) signal is a physiological signal, reflecting heart mechanical status. It can be measured without any electrodes touching subject's body surface and can realize physiological monitoring ubiquitously. However, BCG signal is so weak that it would often be interferred by superimposed noises. For measuring BCG signal effectively, we proposed an approach using joint time-frequency distribution and empirical mode decomposition (EMD) for BCG signal de-noising. We set up an adaptive optimal kernel for BCG signal and extracted BCG signals components using it. Then we de-noised the BCG signal by combing empirical mode decomposition with it. Simulation results showed that the proposed method overcome the shortcomings of empirical mode decomposition for the signals with identical frequency content at different times, realized the filtering for BCG signal and also reconstructed the characteristics of BCG.

Citation： YANGDan, XUBin, YELinlin, JINJingjing. De-noising Method Research of Ballistocardiogram Signal. Journal of Biomedical Engineering, 2014, 31(6): 1368-1372. doi: 10.7507/1001-5515.20140259 Copy

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3.	SHIN J H, HWANG S H, CHANG M H, et al. Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise[J]. Physiol Meas, 2011, 32(8):1239-1264.
4.	INAN O T, KOVACS G T. A low-noise ac-bridge amplifier for ballistocardiogram measurement on an electronic weighing scale[J]. Physiol Meas, 2010, 31(7):51-59.
5.	Inan OT, Etemadi M, Widrow B, et al. Adaptive cancellation of floor vibrations in standing ballistocardiogram measurements using a seismic sensor as a noise reference[J]. IEEE Trans Biomed Eng, 2010, 57(3):722-727.
6.	金晶晶,王旭,吴雪,等.基于改进阈值函数的体震信号平移不变去噪[J].东北大学学报:自然科学版,2009,30(3):333-336.
7.	KHALDI K, BOUDRAA A O, BOUCHIKHI A, et al. Speech enhancement via EMD[J]. EURASIP J Adv Signal Process, 2008, 2008:873204.
8.	BI N, SUN Q, HUANG D, et al. Robust image watermarking based on multiband wavelets and empirical mode decomposition[J]. IEEE Trans Image Process, 2007, 16(8):1956-1966.
9.	PAL S, MITRA M. Empirical mode decomposition based ECG enhancement and QRS detection[J]. Comput Biol Med, 2012, 42(1):83-92.

1. BRÜSER C, STADLTHANNER K, DE WAELE S, et al. Adaptive beat-to-beat heart rate estimation in ballistocardiograms[J]. IEEE Trans Inf Technol Biomed, 2011, 15(5):778-786.
2. POSTOLACHE O, GIRAO P S, POSTOLACHE G. New approach on cardiac autonomic control estimation based on BCG processing[C]//Proceeding of the IEEE Electrical and Computer Engineering International Conference. Vancouve:2007:876-879.
3. SHIN J H, HWANG S H, CHANG M H, et al. Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise[J]. Physiol Meas, 2011, 32(8):1239-1264.
4. INAN O T, KOVACS G T. A low-noise ac-bridge amplifier for ballistocardiogram measurement on an electronic weighing scale[J]. Physiol Meas, 2010, 31(7):51-59.
5. Inan OT, Etemadi M, Widrow B, et al. Adaptive cancellation of floor vibrations in standing ballistocardiogram measurements using a seismic sensor as a noise reference[J]. IEEE Trans Biomed Eng, 2010, 57(3):722-727.
6. 金晶晶,王旭,吴雪,等.基于改进阈值函数的体震信号平移不变去噪[J].东北大学学报:自然科学版,2009,30(3):333-336.
7. KHALDI K, BOUDRAA A O, BOUCHIKHI A, et al. Speech enhancement via EMD[J]. EURASIP J Adv Signal Process, 2008, 2008:873204.
8. BI N, SUN Q, HUANG D, et al. Robust image watermarking based on multiband wavelets and empirical mode decomposition[J]. IEEE Trans Image Process, 2007, 16(8):1956-1966.
9. PAL S, MITRA M. Empirical mode decomposition based ECG enhancement and QRS detection[J]. Comput Biol Med, 2012, 42(1):83-92.

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