Elements of the Theory of Computation
Elements of the Theory of Computation
EEG signal classification using wavelet feature extraction and a mixture of expert model
Expert Systems with Applications: An International Journal
A study on fuzzy C-means clustering-based systems in automatic spike detection
Computers in Biology and Medicine
Computers in Biology and Medicine
Introduction to Automata Theory, Languages, and Computation
Introduction to Automata Theory, Languages, and Computation
Expert Systems with Applications: An International Journal
Epileptic Spike Recognition in Electroencephalogram Using Deterministic Finite Automata
Journal of Medical Systems
Theory of Computer Science: Automata, Languages and Computation
Theory of Computer Science: Automata, Languages and Computation
Parallel Algorithm to Analyze the Brain Signals: Application on Epileptic Spikes
Journal of Medical Systems
Weighted finite automata for video compression
IEEE Journal on Selected Areas in Communications
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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, 256Hz) 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.