Seizure
Research data from Ondokuz Mayis University update understanding of seizure
Published in Blood Weekly, January 21st, 2010
"In this study, normal EEG series recorded from healthy volunteers and epileptic EEG series recorded from patients within and without seizure are classified by using Multilayer Neural Network (MLNN) architectures with respect to several time domain entropy measures such as Shannon Entropy (ShanEn), Log Energy Entropy (LogEn), and Sample Entropy (Sampen). In tests, the MLNN is performed with several numbers of neurons for both one hidden layer and two hidden layers," scientists in Samsun, Turkey report.
"The results show that segments in seizure have significantly lower entropy values than normal EEG series. This result indicates an important increase of EEG regularity...
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Source: Blood Weekly (2010-01-21)
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