Source Localization of Event-Related Potentials Incorporating Spatial Notch Filters

Author

Spyrou, Loukianos ; Sanei, Saeid

Author_Institution

Centre of Digital Signal Process., Cardiff Univ., Cardiff

Volume

55

Issue

9

fYear

2008

Firstpage

2232

Lastpage

2239

Abstract

A novel algorithm for the localization of event-related potential (ERP) sources within the brain is proposed here. In this technique, spatial notch filters are developed to exploit the multichannel electroencephalogram data together with a model of ERP with variable parameters in order to accurately localize the corresponding ERP signal sources. The algorithm is robust in the presence of reasonably high noise. The performance of the proposed system has been compared to that of linear constrained minimum variance (LCMV) beamformer for different noise and correlation levels and its superiority has been demonstrated.

Keywords

bioelectric potentials; electroencephalography; medical signal detection; ERP signal source; brain; correlation level; event-related potential sources; linear constrained minimum variance beamformer; multichannel electroencephalogram data; noise level; source localization; spatial notch filters; Brain modeling; Digital signal processing; Electroencephalography; Enterprise resource planning; Filtering; Filters; Multiple signal classification; Noise level; Noise robustness; Spatial resolution; EEG; source localization; spatial filtering; Algorithms; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Auditory; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2008.920872

Filename

4603159