PMID: 9175450May 1, 1997Paper

Frequency domain discriminant analysis of the electroencephalogram

Psychophysiology
J C LindA C Soong

Abstract

A frequency domain generalization of the classical quadratic discriminant function was applied to the problem of classifying alpha-band multichannel electroencephalogram recordings in three task conditions. The data consisted of 41-channel recordings obtained in eyes closed, verbal, and spatial task conditions. Classifier performance was measured by deriving a decision rule from a training sample of 42 recordings and then applying the obtained rule to a test sample of 46 recordings. The proportion of correct classification was .93 in the training sample and .85 in the test sample. The classifier performed better when based on the complete cross-spectral matrix than when restricted to power spectrum variables. Classification based on a subset of 16 leads reduced the overall proportion of correct classification to .79 in the training sample and to .70 in the test sample.

References

Apr 1, 1987·Brain and Cognition·L J Chapman, J P Chapman
May 1, 1981·Electroencephalography and Clinical Neurophysiology·F H DuffyJ L Burchfiel
Mar 1, 1981·IEEE Transactions on Bio-medical Engineering·P L Nunez
May 1, 1995·Journal of Psychiatric Research·E N MillerJ P Chapman
Nov 1, 1994·Electroencephalography and Clinical Neurophysiology·Z J KolesP Flor-Henry
Dec 15, 1994·Biological Psychiatry·E R JohnL Sverdlov

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Citations

Jun 25, 1999·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·T R Cutmore, D A James

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