A wavelet based de-noising technique for ocular artifact correction of the electroencephalogram

Author

Euginia, Larina

Author_Institution

Res. Inst. of Physiol. of Russian Acad. of Med. Sci., Novosibirsk State Tech. Univ., Russia

Volume

3

fYear

2004

fDate

26 June-3 July 2004

Firstpage

355

Abstract

In this study, the technique of wavelet de-noising of the electroencephalogram (EEG) signal to correct ocular artifact (OA) is proposed. The Donoho technique is used in work as base method: 1) a wavelet transform is applied to the EEG record; 2) the thresholding of the coefficients in the lower frequency bands is performed; 3) the de-noised signal is reconstructed. The estimation of reached de-noising is under construction. The proposed technique allows to free from any limitation in using in experiments EEG contaminated with eye movements.

Keywords

electroencephalography; medical signal processing; signal denoising; signal reconstruction; wavelet transforms; Donoho technique; EEG record; denoised signal reconstruction; electroencephalogram signal; ocular artifact correction; wavelet based denoising technique; wavelet transform; Electroencephalography; Frequency; Kinetic theory; Neurophysiology; Noise reduction; Physiology; Scalp; Signal processing; Signal restoration; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on

Print_ISBN

0-7803-8383-4

Type

conf

DOI

10.1109/KORUS.2004.1555784

Filename

1555784