Wavelet-based filtering method for sleep EEG signal

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.

关键词： sleep EEG pretreatment technique wavelet transform digital filtering

作者: Hua Qiang Rui Yang Guodong Zhang

作者单位: School of Humanities and The Law, Northwestern Polytechnical University, Xian, Shaanxi,China,710072 School of Automation, Northwestern Polytechnica University, Xian, Shaanxi, China,710072

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 2160-2165

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）