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 - 1987

Fingerprint

Adaptive filtering
Bioelectric potentials
Mean square error
Animals
Computer simulation
Processing

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Adaptive Filtering of Evoked Potentials. / Thakor, Nitish V.

In: IEEE Transactions on Biomedical Engineering, Vol. BME-34, No. 1, 1987, p. 6-12.

Research output: Contribution to journalArticle

@article{39e2ef510e364650991dfcea3e0a26c4,
title = "Adaptive Filtering of Evoked Potentials",
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.",
author = "Thakor, {Nitish V}",
year = "1987",
doi = "10.1109/TBME.1987.326024",
language = "English (US)",
volume = "BME-34",
pages = "6--12",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "1",

}

TY - JOUR

T1 - Adaptive Filtering of Evoked Potentials

AU - Thakor, Nitish V

PY - 1987

Y1 - 1987

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0023161029&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023161029&partnerID=8YFLogxK

U2 - 10.1109/TBME.1987.326024

DO - 10.1109/TBME.1987.326024

M3 - Article

C2 - 3557484

AN - SCOPUS:0023161029

VL - BME-34

SP - 6

EP - 12

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 1

ER -