Title :
Removal of Ocular Artifacts from EEG: A Comparison of Adaptive Filtering Method and Regression Method Using Simulated Data
Author :
He, P. ; Kahle, M. ; Wilson, G. ; Russell, C.
Author_Institution :
Dept. of Biomedical, Industrial & Human Factors Eng., Wright State Univ., Dayton, OH
Abstract :
We recently proposed an adaptive filtering method for removing ocular artifacts from EEG recordings. In this study, the accuracy of this method is evaluated quantitatively using simulated data and compared with the accuracy of the time domain regression method. The results show that when transfer of ocular signal to EEG channel is frequency dependent, or when there is a time delay, the adaptive filtering method is more accurate in recovering the true EEG signals
Keywords :
adaptive filters; electro-oculography; electroencephalography; medical signal processing; regression analysis; EEG; adaptive filtering; ocular artifact removal; regression method; signal recovery; time delay; time domain regression method; Adaptive filters; Biomedical engineering; Brain modeling; Calibration; Delay effects; Electroencephalography; Electrooculography; Frequency dependence; Time domain analysis; Transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616614
