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

fYear

2006

Firstpage

1110

Lastpage

1113

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2005.1616614

Filename

1616614

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1606558