DFAspike: a new computational proposition for efficient recognition of epileptic spike in EEG
Anup Kumar Keshri1, Rakesh Kumar Sinha, Aishwarya Singh
1Department of Information Technology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India.
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.
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