Wavelet-based filtering method for sleep EEG signal

被引：0
|
作者：
Qiang, Hua [1 ]
Yang, Rui [2 ]
Zhang, Guodong [2 ]
机构：
[1] Northwest Polytech Univ, Sch Humanities & Law, Xian 710072, Shaanxi, Peoples R China
[2] Northwest Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
来源：
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷
关键词：
sleep EEG; pretreatment technique; wavelet transform; digital filtering;
D O I：
10.4028/www.scientific.net/AMM.130-134.2160
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：2160 / +
页数：2
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