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2012 Hyperspherical Manifold for EEG Signals of Epileptic Seizures
Tahir Ahmad, Vinod Ramachandran
J. Appl. Math. 2012: 1-22 (2012). DOI: 10.1155/2012/926358


The mathematical modelling of EEG signals of epileptic seizures presents a challenge as seizure data is erratic, often with no visible trend. Limitations in existing models indicate a need for a generalized model that can be used to analyze seizures without the need for apriori information, whilst minimizing the loss of signal data due to smoothing. This paper utilizes measure theory to design a discrete probability measure that reformats EEG data without altering its geometric structure. An analysis of EEG data from three patients experiencing epileptic seizures is made using the developed measure, resulting in successful identification of increased potential difference in portions of the brain that correspond to physical symptoms demonstrated by the patients. A mapping then is devised to transport the measure data onto the surface of a high-dimensional manifold, enabling the analysis of seizures using directional statistics and manifold theory. The subset of seizure signals on the manifold is shown to be a topological space, verifying Ahmad's approach to use topological modelling.


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Tahir Ahmad. Vinod Ramachandran. "Hyperspherical Manifold for EEG Signals of Epileptic Seizures." J. Appl. Math. 2012 1 - 22, 2012.


Published: 2012
First available in Project Euclid: 14 December 2012

zbMATH: 1251.92025
Digital Object Identifier: 10.1155/2012/926358

Rights: Copyright © 2012 Hindawi


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