Coherence-weighted wiener filtering of somatosensory evoked potentials

Author

Paul, J.S. ; Luft, A.R. ; Hanley, D.F. ; Thakor, N.V.

Author_Institution

Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA

Volume

48

Issue

12

fYear

2001

fDate

12/1/2001 12:00:00 AM

Firstpage

1483

Lastpage

1488

Abstract

In this paper, we present a Wiener filtering (WF) approach for extraction of somatosensory evoked potentials (SEPs) from the background electroencephalogram (EEG), with sweep-to-sweep variations in its signal power. To account for the EEG power variations, WF is modified by iteratively weighting the power spectrum using the coherence function. Coherence-weighted Wiener filtering (CWWF) is able to extract SEP waveforms, which have a greater level of detail as compared with conventional time-domain averaging (TDA). Using CWWF, the components of the SEP show significantly less variability. As such, CWWF should be useful as an important diagnostic tool able to detect minimal changes in the SEP. In an experimental study of cerebral hypoxia, CWWF is shown to be more responsive to detection of injury than WF or TDA

Keywords

Wiener filters; electroencephalography; iterative methods; medical signal processing; somatosensory phenomena; time-domain analysis; cerebral hypoxia detection; coherence-weighted Wiener filtering; diagnostic tool; electrodiagnostics; injury detection; iteratively weighted power spectrum; noise power; signal power; somatosensory evoked potentials; sweep-to-sweep variations; time-domain averaging; Bioelectric phenomena; Coherence; Electric potential; Electroencephalography; Extracellular; Humans; Muscles; Shape; Time domain analysis; Wiener filter;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.966608

Filename

966608