| Literature DB >> 21621200 |
Anup Kumar Keshri1, Rakesh Kumar Sinha, Aishwarya Singh, Barda Nand Das.
Abstract
An automated method has been presented for the detection of epileptic spikes in the electroencephalogram (EEG) using a deterministic finite automata (DFA) and has been named as DFAspike. EEG data (sampled, 256 Hz) files are the inputs to the DFAspike. The DFAspike was tested with different data files containing epileptic spikes. The obtained recognition rate of epileptic spike was 99.13% on an average. This system does not require any kind of prior training or human intrusion. The result shows that the designed system can be very effectively used for the detection of spikes present in the recorded EEG signals.Entities:
Mesh：
Year: 2011 PMID： 21621200 DOI： 10.1016/j.compbiomed.2011.05.007
Source DB: PubMed Journal: Comput Biol Med ISSN： 0010-4825 Impact factor: 4.589