Adaptive Filtering of Evoked Potentials

Research output: Contribution to journalArticle

Abstract

We present an adaptive filtering (AF) technique for rapid processing of evoked potentials (EP). The AF algorithm minimizes the mean-square error (MSE) between successive ensembles. We demonstrate theoretically that the filter output converges to the least square estimate of the underlying signal. Computer simulations with known signal and added noise show that AF produces lower MSE than ensemble averaging. We also compare results of AF to those obtained by ensemble averaging for some EP recorded from animals and humans. For very noisy EP recordings, we propose techniques that combine AF and ensemble averaging. The AF technique shows promise for requiring fewer ensembles than averaging to attain adequate signal quality.

Original languageEnglish (US)
Pages (from-to)6-12
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
VolumeBME-34
Issue number1
DOIs
StatePublished - Jan 1987

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Adaptive Filtering of Evoked Potentials'. Together they form a unique fingerprint.

  • Cite this