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

Artificial Intelligence in Medicine

Volumn 37, Issue 2, 2006, Pages 131-143

  James, Christopher J ^a   Gibson, Oliver ^b   Davies, Mike ^c  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Constrained ICA; EEG; ICA; Independent component analysis; MEG; Single channel analysis

Indexed keywords

BIOMEDICAL ENGINEERING; DATA RECORDING; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETIC WAVES; INDEPENDENT COMPONENT ANALYSIS; SIGNAL THEORY; SIGNAL TO NOISE RATIO;

CONSTRAINED ICA; INDEPENDENT COMPONENT ANALYSIS; MEG; SINGLE CHANNEL ANALYSIS;

NEUROLOGY;

ACCURACY; ARTICLE; BRAIN; ELECTROENCEPHALOGRAM; ELECTROMAGNETIC FIELD; INDEPENDENT COMPONENT ANALYSIS; METHODOLOGY; PRIORITY JOURNAL; SEIZURE; SIGNAL NOISE RATIO;

ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETICS; EPILEPSY; HUMANS; MODELS, NEUROLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33744550698     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2006.03.003     Document Type: Article

References (20)

1. James C.J., and Lowe D. Extracting multisource brain activity from a single electromagnetic channel. Artif Intell Med 28 (2003) 89-104
2. Kobayashi K., James C.J., Nakahori T., Akiyama T., and Gotman J. Isolation of epileptiform discharges from unaveraged EEG by independent component analysis. Clin. Neurophysiol 110 (1999) 1755-1763
3. James C.J., and Lowe D. Extracting information from multichannel versus single channel EEG data in epilepsy analysis. In: Hyder A.K., Shahbazian E., and Waltz E. (Eds). Multisensor fusion (2002), Kluwer Academic Publishers, Boston 889-895
4. Makeig S., Bell A.J., Jung T.-P., and Sejnowski T.-J. Independent component analysis of electroencephalographic data. Advances in neural information processing systems 8 (1996), MIT Press p. 145-51
5. James C.J., and Gibson O.J. Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis. IEEE Trans. Biomed. Eng. 50 9 (2003) 1108-1116
6. James C.J., and Hesse C.W. Independent component analysis for biomedical signals. Physiol. Meas. 26 (2005) R15-R39
7. Lagerlund T.D., Sharbrough F.W., Jack C.R., Erickson B.J., Strelow D.C., Cicora K.M., et al. Determination of 10-20 system electrode locations using magnetic resonance image scanning with markers. Electroenceph. Clin. Neurophysiol. 86 (1993) 7-14
8. Ary J.P., Klein S.A., and Fender D.H. Location of sources of evoked scalp potentials-corrections for skull and scalp thicknesses. IEEE Trans. Biomed. Eng. 28 (1981) 447-452
9. Rush S., and Driscoll D.A. EEG electrode sensitivity an application of reciprocity. IEEE Trans. Biomed. Eng. 16 (1969) 15-22
10. Cuffin B.N., Cohen D., Yunokuchi K., Maniewski R., Purcell C., Cosgrove G.R., et al. Tests of EEG localization accuracy using implanted sources in the human brain. Ann. Neurol. 29 (1991) 132-138
11. Hyvarinen A. Survey on independent component analysis. Neural Comput. Surv. 2 (1999) 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. 36 (1994) 287-314
14. Bell A.J., and Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7 (1995) 129-1159
15. Hyvärinen A., and Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comput. 9 (1997) 483-1492
16. Bell A.J., and Sejnowski T.J. Learning higher order structure of a natural sound. Network 7 (1996) 261-266
17. Hyvärinen A., Karhunen J., and Oja E. Independent Component Analysis (2001), John Wiley and Sons, New York
18. Broomhead D.S., and King G.P. Extracting qualitative dynamics from experimental data. Physica 20(D) (1986) 217-236
19. James C.J., and Hesse C.W. Mapping scalp topographies of rhythmic EEG activity using temporal decorrelation based constrained ICA. 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 C.W., and James C.J. A time-frequency approach to blind source separation using statistically optimal wavelet packets applied to ictal EEG. Proceedings of the IEE medical signal and information processing conference-MEDSIP 2004. Malta (2004) 137-144