Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation
Castañeda-Villa, N. and James, C. J.. (2011) Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation. IEEE Transactions on Biomedical Engineering, Vol.58 (No.2). pp. 348-354. ISSN 0018-9294Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/TBME.2010.2072957
Auditory evoked potential (AEP) recordings have been analyzed through independent component analysis (ICA) in the literature; however, the performance varies depending on the ICA algorithms used. There are very few studies that concentrate on the optimum parameter selection for estimating the AEP components reliably, while also recovering the specific artifact generated with the normal functioning of a cochlear implant (CI). The objective of this research is to determine which ICA algorithm, high-order statistics (HOS)-based or second-order statistic (SOS)-based, is more plausible to remove this artifact and estimate the AEP. The optimal parameters of three such ICA algorithms for estimating the components from a database of recordings were determined, and then the estimates for the AEP and CI artifact were compared using each method. All the algorithms estimate the CI artifact reasonably well, although only one SOS algorithm is better positioned to estimate the AEP; this is primarily because it uses the temporal structure of this signal as part of the ICA process.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics
R Medicine > RF Otorhinolaryngology
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Library of Congress Subject Headings (LCSH):||Audiometry, Evoked response, Cochlear implants, Independent component analysis|
|Journal or Publication Title:||IEEE Transactions on Biomedical Engineering|
|Page Range:||pp. 348-354|
|Funder:||Programa de Mejoramiento del Profesorado (Mexico) (PROMEP), Universidad Autónoma Metropolitana. Unidad Iztapalapa (UAMI)|
|Grant number:||PROMEP/103.5/06/2055 (PROMEP), 35062 (UAMI)|
|References:|| J. W. Hall, Handbook of Auditory Evoked Responses. Boston, MA: Allyn and Bacon, 1992.  J. Katz, R. F. Burkard, and L. Medwetsky, Handbook of Clinical Audiology. Philadelphia, PA: Lippincott Williams & Wilkins, 2002.  J. L. Wunderlich, B. K. Cone-Wesson, and R. Shepherd, “Maturation of the cortical auditory evoked potential in infants and young children,” Hearing Res., vol. 212, no. 1–2, pp. 185–202, 2006.  C. W. Ponton, M. Don, J. J. Eggermont, M. D. Waring, and A. Masuda, “Maturation of human cortical auditory function: Differences between normal-hearing children and children with cochlear implants,” Ear and Hearing, vol. 17, no. 5, pp. 430–437, 1996.  J. T. Rubinstein, “How cochlear implants encode speech,” Curr. Opin. Otolaryngol. Head Neck and Surg., vol. 11, pp. 16–24, 2005.  R. N. Vigario, “Extraction of ocular artefacts from EEG using independent component analysis,” Electroenceph. Clin. Neurophysiol., vol. 103, no. 3, pp. 395–404, 1997.  C. J. James and C. W. Hesse, “Independent component analysis for biomedical signals,” Physiol. Meas., vol. 26, pp. R15–R39, 2005.  T. P. Jung, C. Humphries, T.W. Lee, S. Makeig,M. J.Mckeown, V. Iragui, and T. J. Sejnowski, “Extended ICA removes artifacts from electroencephalographic recordings,” in Advances in Neural Processing Systems, vol. 10, 1997, pp. 894–900.  P. Comon, “Independent component analysis—A new concept?” Signal Process., vol. 36, pp. 287–314, 1994.  A. Cichocki and S. Amari, Adaptive Blind Signal and Image Processing Learning Algorithms and Applications. Chichester, U.K.: Wiley, 2002.  A. Ziehe and K. R. Muller, “TDSEP—An efficient algorithm for blind separation using time structure,” in Proc. ICANN, 1998, pp. 675–680.  A. Hyvarinen and E. Oja, “A fast fixed-point algorithm for independent component analysis,” Neural Comput., vol. 9, no. 7, pp. 1483–92, 1997.  A. J. Bell and T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput., vol. 7, pp. 1129–1159, 1995.  T. W. Lee, M. Girolami, and T. J. Sejnowski, “Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources,” Neural Comput., vol. 11, pp. 417–441, 1999.  F. Meinecke, A. Ziehe, M. Kawanabe, and K. R. M¨uller, “A resampling approach to estimate the stability of one-dimensional or multidimensional independent components,” IEEE Trans. Biomed. Eng., vol. 49, no. 12, pp. 1514–1525, Dec. 2002.  Cochlear Americas, Ltd. (2009). Internet communication. [Online]. Available: http://www.cochlearamericas.com/  American Clinical Neurophysiology Society, “Guideline 5: Guidelines for standard electrode position nomenclature,” Amer. J. Electroneurodiagnostic Technol., vol. 46, pp. 222–225, 2006.  J. Himberg, A. Hyv¨arinen, and F. Esposito, “Validating the independent components of neuroimaging time series via clustering and visualization,” Neuroimage, vol. 22, pp. 1214–1222, 2004.  J. Himberg and A. Hyv¨arinen, “ICASSO: Software for investigating the reliability of ICA estimates by clustering and visualization,” in Proc. NNSP, 2003, pp. 259–268.  S. Debener, J. Hine, S. Bleeck, and J. Eyles, “Source localization of auditory evoked potentials after cochlear implantation,” Psychophysiology, vol. 45, pp. 20–24, 2008.  P. M. Gilley, A. Sharma, M. Dorman, C. C. Finley, A. S. Panch, and K. Martin, “Minimization of cochlear implant stimulus artifact in cortical auditory evoked potentials,” Clin. Neurophysiol., vol. 117, pp. 1772– 1782, 2006.  J.-F. Cardoso, “Multidimensional independent component analysis,” in Proc. ICASSP, 1998, pp. 1941–1944.  N. Castaneda-Villa and C. J. James, “Objective source selection in blind source separation of AEPs in children with cochlear implants,” in Proc. IEEE EMBS, 2007, pp. 6224–6227.  N. Castaneda-Villa and C. J. James, “The selection of optimal ICA algorithm parameters for robust AEP component estimates using 3 popular ICA algorithms,” in Proc. IEEE EMBS, 2008, pp. 5216–5219.|
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