Wavelet based Ocular Artifact removal from EEG Signals using ARMA method and Adaptive Filtering

摘要：

A common problem faced during the clinical recording of the Electroencephalogram (EEG) signals are the eye-blinks and movement of the eye balls. Eye blinks cause changes to the electric fields around the eyes, and consequently over the scalp. As a result, EEG recordings are often significantly distorted, and their interpretation becomes problematic. A number of methods have been proposed to overcome this problem. In this paper, a method for removal of ocular artifacts is proposed using ARMA (Auto-Regressive Moving Average) method with wavelets. A comparison is made for the efficiency of the proposed method without using wavelets. Also, the adaptive filtering technique is used to compare with the proposed method.

关键词： Ocular Artifacts EEG Adaptive Filtering ARMA modeling RLS

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

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

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2482-2486

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）