EEG ocular artifact removal through ARMAX model system identification using extended least squares-Reference-Cited by-同舟云学术

EEG ocular artifact removal through ARMAX model system identification using extended least squares

Published:2003 Issue:1 Volume:3 Page:19-40
ISSN:1526-7555
Container-title:Communications in Information and Systems
language:en
Short-container-title:

Author:

Haas Shane M.¹,Frei Mark G.²,Osorio Ivan³,Pasik-Duncan Bozenna⁴,Radel Jeff⁵

Affiliation:

1. Laboratory for Information and Decision Systems, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Mass., U.S.A.

2. Flint Hills Scientific, L.L.C., Lawrence, Kansas, U.S.A.

3. Comprehensive Epilepsy Center, Kansas City, Kansas, U.S.A.; Flint Hills Scientific, L.L.C., Lawrence, Kansas, U.S.A.

4. Department of Mathematics, University of Kansas, Lawrence, Ks., U.S.A.

5. University of Kansas Medical Center, Kansas City, Kansas, U.S.A.

Publisher

International Press of Boston

Subject

General Engineering

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