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The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms

The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms
The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms
Many authors have used the Auditory Evoked Potential (AEP) recordings to evaluate the performance of their ICA algorithms and have demonstrated that this procedure can remove the typical EEG artifact in these recordings (i.e. blinking, muscle noise, line noise, etc.). However, there is little work in the literature about the optimal parameters, for each of those algorithms, for the estimation of the AEP components to reliably recover both the auditory response and the specific artifacts generated for the normal function of a Cochlear Implant (CI), used for the rehabilitation of deaf people. In this work we determine the optimal parameters of three ICA algorithms, each based on different independence criteria, and assess the resulting estimations of both the auditory response and CI artifact. We show that the algorithm utilizing temporal structure, such as TDSEP-ICA, is better in estimating the components of the auditory response, in recordings contaminated by CI artifacts, than higher order statistics based algorithms.
5216-9
Castenada-Villa, N.
ed2812d0-a850-48e6-af6d-52b976c5b4b6
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52
Castenada-Villa, N.
ed2812d0-a850-48e6-af6d-52b976c5b4b6
James, C.J.
b3733b1f-a6a1-4c9b-b75c-6191d4142e52

Castenada-Villa, N. and James, C.J. (2008) The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms. Proceedings of the 30th International Conference of IEEE Engineering in Medicine and Biology Society (EMBS2008). 20 - 24 Aug 2008. pp. 5216-9 .

Record type: Conference or Workshop Item (Paper)

Abstract

Many authors have used the Auditory Evoked Potential (AEP) recordings to evaluate the performance of their ICA algorithms and have demonstrated that this procedure can remove the typical EEG artifact in these recordings (i.e. blinking, muscle noise, line noise, etc.). However, there is little work in the literature about the optimal parameters, for each of those algorithms, for the estimation of the AEP components to reliably recover both the auditory response and the specific artifacts generated for the normal function of a Cochlear Implant (CI), used for the rehabilitation of deaf people. In this work we determine the optimal parameters of three ICA algorithms, each based on different independence criteria, and assess the resulting estimations of both the auditory response and CI artifact. We show that the algorithm utilizing temporal structure, such as TDSEP-ICA, is better in estimating the components of the auditory response, in recordings contaminated by CI artifacts, than higher order statistics based algorithms.

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More information

Published date: 2008
Venue - Dates: Proceedings of the 30th International Conference of IEEE Engineering in Medicine and Biology Society (EMBS2008), 2008-08-20 - 2008-08-24

Identifiers

Local EPrints ID: 65224
URI: https://eprints.soton.ac.uk/id/eprint/65224
PURE UUID: b860ebf5-be5c-4236-ac9e-7f30c9adad6e

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Date deposited: 04 Mar 2009
Last modified: 13 Mar 2019 20:19

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