TY - JOUR
T1 - Filtering of Muscle Artifact from the Electroencephalogram
AU - Johnson, Timothy L.
AU - Wright, Stuart C.
AU - Segall, Adrian
PY - 1979/10
Y1 - 1979/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0018528951&partnerID=8YFLogxK
U2 - 10.1109/TBME.1979.326443
DO - 10.1109/TBME.1979.326443
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C2 - 540905
AN - SCOPUS:0018528951
SN - 0018-9294
VL - BME-26
SP - 556
EP - 563
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 10
ER -