Latency Corrected Wavelet Filtering of the P300 Event-Related Potential in Young and Old Adults

Author

Markazi, Seyedehmina Ayoubian ; Stergioulas, Lampros K. ; Ramchurn, Anusha ; Bunce, David

Author_Institution

Sch. of Inf. Syst., Comput. & Math., Brunel Univ., Uxbridge

fYear

2007

fDate

2-5 May 2007

Firstpage

582

Lastpage

586

Abstract

The purpose of this study was to apply a nonlinear wavelet denoising filter to the extraction of transient evoked related potentials (ERPs) from background EEC The study introduces a new method for filtering the P300, an ERP component evoked by performing a given cognitive task, in this case, a two-choice reaction time task. The method employed latency correction of the ERPs in the time domain, followed by noise-masking in the wavelet domain. With this filtering method, the P300 component was accurately localized in both time and scale. Wilcoxon tests verified the statistical significance of P300 peak amplitude differences (p<0.0003) between two age groups (old and young).

Keywords

bioelectric potentials; discrete wavelet transforms; medical signal processing; nonlinear filters; signal denoising; P300 event-related potential; latency corrected wavelet filtering; nonlinear wavelet denoising filter; transient evoked related potentials; Background noise; Delay; Electroencephalography; Enterprise resource planning; Filtering; Filters; Noise reduction; Signal to noise ratio; Wavelet coefficients; Wavelet transforms; Age; EEG; ERP; Electroencephalography; Latency corrected; P300; Wavelet filtering; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on

Conference_Location

Kohala Coast, HI

Print_ISBN

1-4244-0792-3

Electronic_ISBN

1-4244-0792-3

Type

conf

DOI

10.1109/CNE.2007.369740

Filename

4227345