Abstract
There is always noise mixed with cardio-electric signal via hardware acquisition, which impede patients’ diagnosis. Wavelet transform can well analyze regional signals, and achieve good result in separating signal and noise by taking advantage of their differences shown in both time and frequency domain. Yet wavelet decomposition focuses on approximate coefficient vector, which leads to loss of original features in time domain during the de-noising preprocess as it continues decomposing in lower frequency direction. Wavelet packet transform is proposed in order to overcome wavelet decomposition’s low frequency resolution ratio in high-frequency section and weak time resolution ratio in low-frequency section. It’s a more elaborate method for signal analysis, and well enhances resolution ratio in both time and frequency domain. This paper mainly presents application of wavelet packet transform in cardio-electric signal de-noising.
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References
Gotchev, A., Nikolaev, N., Egiazarian, K.: Improving the Transform Domain ECG Denoising Performance by Applying Interbeat and Interbeat Decorrelating Transforms. In: IEEE International Symposium on Circuits and Systems, pp. 2–17 (2001)
Li, C.W., Zheng, C.X., Tai, C.F.: Detection of ECG characteristic points using wavelet transform. IEEE Trans. BME 42(1), 21–29 (2006)
Berkner, K., Wells, R.O.: Wavelet transforms and denosing algorithms. In: Signals, Systems & computers,1998 Conference Record of the Thirty-Second Asilomar Conference, pp. 1639–1643 (1998)
He, Q., Yao, C.: Feature Extraction Method of Hydraulic Pump Vibration Signal Based on Singular Value Decomposition and Wavelet Packets Analysis. Journal of Data Acquisition & Processing, 241–247 (2012)
Guo, D.F., Zhu, W.H., Gao, Z.M.: A study of wavelet thresolding denoising. In: Signal Processing Proceedings, pp. 329–332 (2000)
Brij, N., Singh, A.K.T.: Optimal selection of wavelet basis function applied to ECG signal denosing. Digital Signal Processing, 275–287 (2006)
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, G., Wang, H., Zhao, Y., Zhao, L. (2012). The De-nosing Algorithm of ECG Signal Based on Wavelet Packet. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_7
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DOI: https://doi.org/10.1007/978-3-642-34595-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
Online ISBN: 978-3-642-34595-1
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