Regularized FOCUSS algorithm for EEG/MEG source imaging

Jooman Han, Kwangsuk Park

Research output: Contribution to journalConference articleResearchpeer-review

5 Citations (Scopus)

Abstract

In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEC) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.

Original languageEnglish
Pages (from-to)122-124
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 I
StatePublished - 1 Dec 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 1 Sep 20045 Sep 2004

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Magnetoencephalography
Electroencephalography
Imaging techniques

Keywords

  • Dipole
  • Eketroencephalography
  • Inverse problem
  • Regnlarization
  • Sparse

Cite this

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title = "Regularized FOCUSS algorithm for EEG/MEG source imaging",
abstract = "In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEC) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.",
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journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
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Regularized FOCUSS algorithm for EEG/MEG source imaging. / Han, Jooman; Park, Kwangsuk.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 26 I, 01.12.2004, p. 122-124.

Research output: Contribution to journalConference articleResearchpeer-review

TY - JOUR

T1 - Regularized FOCUSS algorithm for EEG/MEG source imaging

AU - Han, Jooman

AU - Park, Kwangsuk

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEC) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.

AB - In this paper, we derived a generalized version of the regularized FOCUSS algorithm which was derived in [3]. It allows general forms of noise covariance and reduces depth effect when imaging focal neural sources from electroencephalography (EEC) / magnetoencephalography (MEG) data. We compared a depth-weighted regularized algorithm with FOCUSS and a regularized FOCUSS through simulation study. The suggested algorithm gave sparser and less spurious solutions than the others.

KW - Dipole

KW - Eketroencephalography

KW - Inverse problem

KW - Regnlarization

KW - Sparse

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M3 - Conference article

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SP - 122

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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SN - 0589-1019

ER -