A new method: To determine the applicability of linear ICA to a given problem. (High lighted by an EEG case study applied to epilepsy)

2004 Sensor Array and Multichannel Signal Processing Workshop

Volumn , Issue , 2004, Pages 182-185

  Unsworth, C P ^a,b,c   Spowart, J J ^b   Lawson, G ^b   Brown, J K ^b   Mulgrew, B ^c   Minns, R A ^b   Clark, M ^b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b ROYAL HOSPITAL FOR SICK CHILDREN   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES; EPILEPSY; MULTI-CHANNEL DATA; SYNTHETIC MIXTURES;

DISEASES; EIGENVALUES AND EIGENFUNCTIONS; ELECTROMAGNETIC WAVE PROPAGATION; INDEPENDENT COMPONENT ANALYSIS; LINEAR SYSTEMS;

ELECTROENCEPHALOGRAPHY;

EID: 28244473358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Kobayashi K. et. al., "Isolation of epileptiform discharges from unaveraged eeg by independent component analysis", Clin. Neurophysiology, Vol. 110, pp.1755-1763, 1999.
3. Nunez P.L. and Katznelson R.D., Electric fields of the brain: The neurophysics of EEG, Oxford University Press, New York, 1981.
4. Comparisons of partial & generalised childhood epilepsies using principal & independent component analysis, C.P.Unsworth et.al, Brain & Development, Vol.24, no.6, Elsevier, pp.525, Sept.2002.
5. A.C.Rencher, Methods of multivariate analysis, Wiley series in probability and statistics, pgs.32-37.
6. Cardoso J.F, Souloumiac A, "Blind beam-forming for non-gaussian signals", IEE Proc.F, vol. 140, pp. 362-370, 1993.