Abstract
Taken at first glance, the EEG appears to be merely a mixture of sinusoids ranging in frequency from 1 to 30 Hz with variations in frequency, phase relation and amplitude that are a function of the scalp location from which they are recorded, the state of activity of the subject and the state of the underlying brain. When a normal subject is maintained in the same state of activity repeated samples of more than 15–20 seconds in duration will lead to similar frequency distributions and similar amplitude statistics within a single channel. It is this predictable stability of the EEG signal that allows the estimation of altered states of activity related to altered function or disease.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Andersen and S. A. Andersson, “Physiological Basis of the Alpha Rhythm,” Appleton-Century-Crofts, New York, p.235 (1968).
J. S. Barlow, Computerized Clinical Electroencephalography in Perspective, IEEE Trans. Biomed. Eng. BME-26: 377–391 (1979).
W. P. Birkemeier et al., Pattern recognition techniques for the detection of epileptic transients in EEG, IEEE Trans. Biomed. Eng. BME-25: 213–216 (1978).
O. Creutzfeldt et al., The neuronal generation of the EEG. Vol. 2 part C., pp 4–157, in “Handbook of Electroencephalography and Clinical Neurophysiology,” A. Remond, ed., Elsevier, Amsterdam (1974).
J. Demartini and A. Vincent-Carrefour, Topics on pattern recognition, in “EEG Informatics. A Didactic Review of Methods and Applications of EEG Data Processing,” A. Remond, ed., Elsevier, Amsterdam, pp. 107–126 (1977).
R. Elul, The genesis of the EEG, Int. Rev. Neurobiol 15: 227–272 (1977).
E. M. Glaser and D. S. Ruchkin, “Principles of Neurobiological Signal Analysis,” Academic Press, New York, pp. 291–463 (1976).
R. N. Harner, Sequential analysis and quantifications of the electroencephalogram, Electroenceph. Clin. Neurophysiol., 34: 791 (1973).
R. N. Harner, Computer analysis and clinical EEG interpretation — perspective and application, in “CEAN: Computerized EEG Analysis,” G. Dolce and H. Kunkel, eds., Fischer, Stuttgart, pp. 337–343 (1975).
R. N. Harner, EEG analysis in the time domain, in “EEG Informatics. A Didactic Review of Methods and Applications of EEG Data Processing,” A. Remond, ed., Elsevier, Amsterdam, pp. 57–82 (1977).
R. N. Harner and K. A. Ostergren, Sequential analysis of quasistable and paroxysmal activity, in “Quantitative Analytic Studies in Epilepsy,” P. Kellaway and I. Petersen, eds., Raven Press, New York, pp. 343–353 (1976).
R. N. Harner and K. A. Ostergren, Computed EEG Topography, in “Contemporary Clinical Neurophysiology,” W. A. Cobb and H. Van Duijn, eds., Elsevier, Amsterdam, pp. 151–161 (1978).
R. N. Harner and K. A. Ostergren, Computed EEG Topography: a new method for the study of neurological disorders, Trans. Amer. Neurol. Assn. 103: 127–129 (1979).
R. N. Harner and O. M. Sgro, Neuronal interactions in experimental epileptogenic foci., Soc. for Neurosci. Abstracts 4: 143 (1978).
G. P. Moore, et al., Statistical signs of synaptic interaction in neurons, Biophys. J. 10: 876–900 (1966).
Park et al., Comparison between computed EEG topography (CET) and computed tomography, Electroenceph. Clin. Neurophysiol. 43: 296 (1977).
I.A. Sulg, The quantitated EEG as a measure of brain dysfunction, Scand. J. Clin. Lab. Invest. 23 (Suppl. 109):52–53 (1969).
J. T. Tou and R. C. Gonzalez, “Pattern Recognition Principles,” Addison-Wesley, Reading, Massachusetts, p. 377 (1974).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1981 Plenum Press, New York
About this chapter
Cite this chapter
Harner, R.N. (1981). Computed EEG Topography — Theory, Implementation and Application. In: Wilkinson, A.W. (eds) Investigation of Brain Function. Ettore Majorana International Science Series, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-4043-0_6
Download citation
DOI: https://doi.org/10.1007/978-1-4684-4043-0_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-4045-4
Online ISBN: 978-1-4684-4043-0
eBook Packages: Springer Book Archive