Paper Title:
Wavelet-Based Filtering Method for Sleep EEG Signal
  Abstract

In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.

  Info
Periodical
Edited by
Han Zhao
Pages
2160-2165
DOI
10.4028/www.scientific.net/AMM.130-134.2160
Citation
H. Qiang, R. Yang, G. D. Zhang, "Wavelet-Based Filtering Method for Sleep EEG Signal", Applied Mechanics and Materials, Vols. 130-134, pp. 2160-2165, 2012
Online since
October 2011
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