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Differences in source analysis of AEP generators following Fastica and TDSEP-ICA denoising

Differences in source analysis of AEP generators following Fastica and TDSEP-ICA denoising
Differences in source analysis of AEP generators following Fastica and TDSEP-ICA denoising
Different factors can affect the accuracy of the source localization of evoked potentials: the SNR of the data, the head model, and the number of sources, mention but a few. Another fundamental factor is the correct application of independent components analysis (ICA) to both filter out artefacts and select the independent components (IC) related to the neurological response. In this paper we assess the differences in the source analysis accuracy of the auditory evoked potential (AEP) generators between a temporal ICA (TDSEP-ICA) algorithm and a statistically based algorithm (FastICA) in EEG, from children with cochlear implants (CIs). The parameters used to compare both ICA algorithms and validate the source localization include: residual standard deviation, confidence ellipsoids, localization and time of best dipole fit. Here we show that pre-processing using TDSEP- ICA facilitates the identification of the AEP peaks and the source analysis procedure. The results obtained in this research could be used as objective technique for a general evaluation of the performance of children with CIs.
9780863419348
1-4
IEEE
Castaneda-Villa, N.
10f342b7-36b7-4f7b-864e-8a18a95730f6
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Castaneda-Villa, N.
10f342b7-36b7-4f7b-864e-8a18a95730f6
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52

Castaneda-Villa, N. and James, C.J. (2008) Differences in source analysis of AEP generators following Fastica and TDSEP-ICA denoising. In 4th IET International Conference on Advances in Medical, Signal and Information Processing, 2008 (MEDSIP 2008). IEEE. pp. 1-4 .

Record type: Conference or Workshop Item (Paper)

Abstract

Different factors can affect the accuracy of the source localization of evoked potentials: the SNR of the data, the head model, and the number of sources, mention but a few. Another fundamental factor is the correct application of independent components analysis (ICA) to both filter out artefacts and select the independent components (IC) related to the neurological response. In this paper we assess the differences in the source analysis accuracy of the auditory evoked potential (AEP) generators between a temporal ICA (TDSEP-ICA) algorithm and a statistically based algorithm (FastICA) in EEG, from children with cochlear implants (CIs). The parameters used to compare both ICA algorithms and validate the source localization include: residual standard deviation, confidence ellipsoids, localization and time of best dipole fit. Here we show that pre-processing using TDSEP- ICA facilitates the identification of the AEP peaks and the source analysis procedure. The results obtained in this research could be used as objective technique for a general evaluation of the performance of children with CIs.

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More information

Published date: July 2008
Additional Information: ISSN 0537-9989
Venue - Dates: Proceedings of MEDSIP 2008 4th IET International Conference on Advances in Medical Signal and Information Processing, Sta Margherita Ligure, Italy, 14-16 July, Sta Margherita Ligure, Italy, 2008-07-14 - 2008-07-16

Identifiers

Local EPrints ID: 65185
URI: http://eprints.soton.ac.uk/id/eprint/65185
ISBN: 9780863419348
PURE UUID: a1ff34a7-8e10-4cce-a9d8-5b2f86c82510

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Date deposited: 17 Feb 2009
Last modified: 05 Mar 2024 17:39

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Contributors

Author: N. Castaneda-Villa
Author: C.J. James

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