Segmented matched filtering of single event related evoked potentials

Author

Lange, D.H. ; Pratt, H. ; Inbar, G.F.

Author_Institution

Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel

Volume

42

Issue

3

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

317

Lastpage

321

Abstract

A fast segmentation-based matched filtering (MF) technique of single trial evoked potentials (EP´s) is presented. MF improves the signal-to-noise ratio of single EP´s, reducing the number of repetitions necessary to obtain high quality signals by an order of magnitude. A computer simulation and analysis of experimental data of movement related potentials and cognitive event related potentials demonstrate the superior capabilities of MF compared to traditional ensemble averaging.

Keywords

bioelectric potentials; electroencephalography; filtering theory; medical signal processing; background EEG; cognitive event related potentials; computer simulation; experimental data analysis; high quality signals; movement related potentials; repetitions number reduction; segmented matched filtering; signal-to-noise ratio improvement; single event related evoked potentials; traditional ensemble averaging; Band pass filters; Brain modeling; Data mining; Electroencephalography; Filter bank; Filtering; Frequency; Matched filters; Signal processing; Signal to noise ratio; Algorithms; Electroencephalography; Evoked Potentials; Fourier Analysis; Humans; Models, Theoretical; Movement; Reaction Time; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.364520

Filename

364520