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Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings

Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings

Javier Escudero, Roberto Hornero, Daniel Abásolo, Jesús Poza, Alberto Fernández
Copyright: © 2008 |Pages: 9
ISBN13: 9781599048895|ISBN10: 1599048892|EISBN13: 9781599048901
DOI: 10.4018/978-1-59904-889-5.ch012
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MLA

Escudero, Javier, et al. "Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings." Encyclopedia of Healthcare Information Systems, edited by Nilmini Wickramasinghe and Eliezer Geisler, IGI Global, 2008, pp. 84-92. https://doi.org/10.4018/978-1-59904-889-5.ch012

APA

Escudero, J., Hornero, R., Abásolo, D., Poza, J., & Fernández, A. (2008). Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings. In N. Wickramasinghe & E. Geisler (Eds.), Encyclopedia of Healthcare Information Systems (pp. 84-92). IGI Global. https://doi.org/10.4018/978-1-59904-889-5.ch012

Chicago

Escudero, Javier, et al. "Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings." In Encyclopedia of Healthcare Information Systems, edited by Nilmini Wickramasinghe and Eliezer Geisler, 84-92. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-889-5.ch012

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Abstract

The analysis of the electromagnetic brain activity can provide important information to help in the diagnosis of several mental diseases. Both electroencephalogram (EEG) and magnetoencephalogram (MEG) record the neural activity with high temporal resolution (Hämäläinen, Hari, Ilmoniemi, Knuutila, & Lounasmaa, 1993). Nevertheless, MEG offers some advantages over EEG. For example, in contrast to EEG, MEG does not depend on any reference point. Moreover, the magnetic fields are less distorted than the electric ones by the skull and the scalp (Hämäläinen et al., 1993). Despite these advantages, the use of MEG data involves some problems. One of the most important difficulties is that MEG recordings may be severely contaminated by additive external noise due to the intrinsic weakness of the brain magnetic fields. Hence, MEG must be recorded in magnetically shielded rooms with low-noise SQUID (Superconducting QUantum Interference Devices) gradiometers (Hämäläinen et al., 1993).

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