DFAspike: a new computational proposition for efficient recognition of epileptic spike in EEG

Anup Kumar Keshri; Rakesh Kumar Sinha; Aishwarya Singh; Barda Nand Das

doi:10.1016/j.compbiomed.2011.05.007

DFAspike: a new computational proposition for efficient recognition of epileptic spike in EEG

Comput Biol Med. 2011 Jul;41(7):559-64. doi: 10.1016/j.compbiomed.2011.05.007. Epub 2011 May 28.

Authors

Anup Kumar Keshri¹, Rakesh Kumar Sinha, Aishwarya Singh, Barda Nand Das

Affiliation

¹ Department of Information Technology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India.

PMID: 21621200
DOI: 10.1016/j.compbiomed.2011.05.007

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.

MeSH terms

Algorithms
Animals
Computational Biology
Electroencephalography / methods*
Epilepsy / diagnosis*
Epilepsy / physiopathology
Male
Pattern Recognition, Automated / methods*
Rats
Signal Processing, Computer-Assisted*