Filtering of Muscle Artifact from the Electroencephalogram

Timothy L. Johnson, Stuart C. Wright, Adrian Segall

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

When recorded by surface electrodes, the electroencephalogram (EEG) may contain unwanted signals due to depolarization of scalp muscles and various electrochemical effects at the surface-metal junction. The former artifacts, in particular, are difficult to remove by linear filtering. This design study indicates that a state-of-the-art nonlinear filter which includes a matched-filter detector with likelihood-ratio decision logic can give significant performance improvement over a third-order linear low-pass filter typical of existing equipment. The same approach can be applied to related electrophysiological filtering problems.

Original languageEnglish
Pages (from-to)556-563
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
VolumeBME-26
Issue number10
DOIs
StatePublished - Oct 1979
Externally publishedYes

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