ERP signal estimation from single trial EEG

Author

Mir, Hasan ; Prasad, Indu ; Ke Yu ; Thakor, Nitish ; Al-Nashash, Hasan

Author_Institution

Dept. of Electr. Eng., American Univ. of Sharjah, Sharjah, United Arab Emirates

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

2989

Lastpage

2992

Abstract

Non-invasive EEG recordings are subject to effects such as surface conduction, resulting in very low signal to noise ratio (SNR). The conventional approach of using signal averaging to improve the SNR cannot be used for single trial EEG estimation. As such, this paper proposes a beamforming based technique that can be used to improve the signal quality from a signal trial EEG measurement. Results on experimental data show that the proposed technique can successfully isolate the signal of interest from background processes.

Keywords

bioelectric potentials; electroencephalography; medical signal processing; ERP signal estimation; SNR; background processes; beamforming based technique; conventional approach; experimental data; noninvasive EEG recordings; signal averaging; signal of interest; signal quality; signal to noise ratio; signal trial EEG measurement; single trial EEG estimation; surface conduction; Array signal processing; Arrays; Educational institutions; Electroencephalography; Estimation; Face; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6944251

Filename

6944251