Removal of Artifacts from EEG Signals using Adaptive Filter through Wavelet Transform

摘要：

This paper presents an adaptive method for removing electroocular (EOG) artifacts in the electroencephalogram (EEG) records.Artifacts in EEG signals are caused by various factors,like line interference,EOG (electro-oculogram) and ECG (electrocardiogram).These noise sources increase the difficulty in analyzing the EEG and obtaining clinical information.For this reason,it is necessary to design specific filters to decrease such artifacts in EEG records.In this paper,we proposed an adaptive filtering method for removing ocular artifacts from EEG recordings using wavelet transform.

作者: P.Senthil Kumar R.Arumuganathan K.Sivakumar C.Vimal

作者单位: Dept.of Mathematics & Computer Applications Dept.of Electronics & Comm.Engg., Dept.of Bio-Medical Engineering PSG College of Technology Coimbatore,India.

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）