Use of support vector machines to automatically detect epileptic activity in EEG data
This dissertation evaluates the effectiveness of using Support Vector Machines (SVM) to identify Inter-ictal epileptic activity in Electroencephalogram (EEG) data. There are existing systems that already do this but identifying the best solution requires comparative studies. A sample of data was ran...
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| Format: | Others |
| Language: | en |
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2012
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| Online Access: | http://hdl.handle.net/10539/11311 |