Artificial Intelligence in Medicine
Volume 37, Issue 2 , Pages 131-143 , June 2006

On the analysis of single versus multiple channels of electromagnetic brain signals

  • Christopher J. James

      Affiliations

    • Signal Processing and Control Group, ISVR, University of Southampton, Southampton SO17 1BJ, United Kingdom
    • Corresponding Author InformationCorresponding author. Tel.: +44 23 8059 3043; fax: +44 23 8059 3190.
    • ,
  • Oliver Gibson

      Affiliations

    • Signal Processing and Neural Networks Research Group, University of Oxford, Oxford, United Kingdom
    • ,
  • Mike Davies

      Affiliations

    • Digital Signal Processing and Multimedia Research Group, Department of Electronic Engineering, Queen Mary University of London, United Kingdom

Received 12 July 2005 ,Revised 17 January 2006 ,Accepted 17 March 2006.

References 

  1. James CJ, Lowe D. Extracting multisource brain activity from a single electromagnetic channel. Artif Intell Med. 2003;28:89–104
  2. Kobayashi K, James CJ, Nakahori T, Akiyama T, Gotman J. Isolation of epileptiform discharges from unaveraged EEG by independent component analysis. Clin. Neurophysiol. 1999;110:1755–1763
  3. James CJ, Lowe D. Extracting information from multichannel versus single channel EEG data in epilepsy analysis. In:  Hyder AK,  Shahbazian E,  Waltz E editor. Multisensor fusion. Boston: Kluwer Academic Publishers; 2002;p. 889–895
  4. Makeig S, Bell AJ, Jung T-P, Sejnowski T-J. Independent component analysis of electroencephalographic data. Advances in neural information processing systems 8. MIT Press; 1996;p. 145–51
  5. James CJ, Gibson OJ. Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis. IEEE Trans. Biomed. Eng. 2003;50(9):1108–1116
  6. James CJ, Hesse CW. Independent component analysis for biomedical signals. Physiol. Meas. 2005;26:R15–R39
  7. Lagerlund TD, Sharbrough FW, Jack CR, Erickson BJ, Strelow DC, Cicora KM, et al. Determination of 10-20 system electrode locations using magnetic resonance image scanning with markers. Electroenceph. Clin. Neurophysiol. 1993;86:7–14
  8. Ary JP, Klein SA, Fender DH. Location of sources of evoked scalp potentials—corrections for skull and scalp thicknesses. IEEE Trans. Biomed. Eng. 1981;28:447–452
  9. Rush S, Driscoll DA. EEG electrode sensitivity an application of reciprocity. IEEE Trans. Biomed. Eng. 1969;16:15–22
  10. Cuffin BN, Cohen D, Yunokuchi K, Maniewski R, Purcell C, Cosgrove GR, et al. Tests of EEG localization accuracy using implanted sources in the human brain. Ann. Neurol. 1991;29:132–138
  11. Hyvarinen A. Survey on independent component analysis. Neural Comput. Surv. 1999;2:94–128
  12. S. Makeig, EEGLAB ICA Matlab toolbox: http://www.sccn.ucsd.edu/∼scott/ica-download-form.html (accessed: 16 January, 2006).
  13. Comon P. Independent component analysis, a new concept?. Signal Process. 1994;36:287–314
  14. Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 1995;7:129–1159
  15. Hyvärinen A, Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comput. 1997;9:483–1492
  16. Bell AJ, Sejnowski TJ. Learning higher order structure of a natural sound. Network. 1996;7:261–266
  17. Hyvärinen A, Karhunen J, Oja E. Independent Component Analysis. New York: John Wiley and Sons; 2001;
  18. Broomhead DS, King GP. Extracting qualitative dynamics from experimental data. Physica. 1986;20(D):217–236
  19. James CJ, Hesse CW. Mapping scalp topographies of rhythmic EEG activity using temporal decorrelation based constrained ICA. In: Proceedings of the 26th annual international conference of the IEEE engineering in medicine and biology society. San Francisco, USA. 2004;4 pages (CDROM)
  20. Hesse CW, James CJ. A time-frequency approach to blind source separation using statistically optimal wavelet packets applied to ictal EEG. In: Proceedings of the IEE medical signal and information processing conference—MEDSIP 2004. Malta. 2004;p. 137–144

PII: S0933-3657(06)00039-X

doi: 10.1016/j.artmed.2006.03.003

Artificial Intelligence in Medicine
Volume 37, Issue 2 , Pages 131-143 , June 2006

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