Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks
The electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory recording systems generate very lengthy data and the detection of the epileptic activity requires a time-consuming analysis of the entire length of the EEG data by an expe...
| Main Authors: | Srinivasan, Vairavan, Eswaran, Chikkannan, Sriraam, Natarajan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2007
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3063/ http://shdl.mmu.edu.my/3063/1/1085.pdf |
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