Evolutionary algorithms and frequent itemset mining for analyzing epileptic oscillations

Evolutionary algorithms and frequent itemset mining for analyzing epileptic oscillations

This research presents engineering tools that address an important area impacting many persons worldwide: epilepsy. Over 60 million people are affected by epilepsy, a neurological disorder characterized by recurrent seizures that occur suddenly. Surgery and anti-epileptic drugs (AED s) are common t...

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Bibliographic Details
Main Author: Smart, Otis Lkuwamy
Published: Georgia Institute of Technology 2008
Subjects:
Epileptic oscillations
Epilepsy
Evolutionary algorithms
Frequent itemset mining
Intracranial EEG
Feature extraction
Artificial feature
Brain mapping
Electroencephalography
Evolutionary computation
Genetic programming (Computer science)
Algorithms
Online Access:http://hdl.handle.net/1853/22709

Internet

http://hdl.handle.net/1853/22709

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