Unrestricted principal components analysis of brain electrical activity: Issues of data dimensionality, artifact, and utility-Reference-Cited by-同舟云学术

Unrestricted principal components analysis of brain electrical activity: Issues of data dimensionality, artifact, and utility

Published:1992 Issue:4 Volume:4 Page:291-307
ISSN:0896-0267
Container-title:Brain Topography
language:en
Short-container-title:Brain Topogr

Author:

Duffy Frank H.,Jones Kenneth,Bartels Peter,McAnulty Gloria,Albert Marilyn

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

http://link.springer.com/content/pdf/10.1007/BF01135567.pdf

Reference51 articles.

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2. Abt, K.. Descriptive data analysis (DDA) in Quantitative EEG studies. In D. Samson-Dollfus,J. D. Guieu,J. Gotman, and P. Etvènon (Eds.), Statistics and Topography in Quantitative EEG (pp. 150?160). Amsterdam: Elsevier, 1988.

3. Achim, A., Richer, F., Alain, C., and Saint-Hilaire, J. M. A test of model adequacy applied to the dimensionality of multichannel average auditory evoked potentials. In D. Samson-Dollfus,J. D. Guieu,J. Gotman, and P. Etvenon (Eds.), Statistics and Topography in Quantitative EEG (pp. 161?171). Amsterdam: Elsevier, 1988.

4. Bartels, P. H. Numerical evaluation of cytologic data IX. Search for data structure by principal components transformation. Anal. Quant. Cytol., 1981a, 3: 167?177.

5. Bartels, P. H. Numerical evaluation of cytologic data VIII. Computation of the principal components. Anal. Quant. Cytol., 1981b, 3: 83?90.

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