Comput. Biol. Med. - DFAspike: a new computational proposition for efficient recognition of epileptic spike in EEG.

Tópicos

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Resumo

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.

Resumo Limpo

autom method present detect epilept spike electroencephalogram eeg use determinist finit automata dfa name dfaspik eeg data sampl hz file input dfaspik dfaspik test differ data file contain epilept spike obtain recognit rate epilept spike averag system requir kind prior train human intrus result show design system can effect use detect spike present record eeg signal

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