Seizure prediction using statistical dispersion measures of intracranial EEG

@article{Bedeeuzzaman2014SeizurePU,
  title={Seizure prediction using statistical dispersion measures of intracranial EEG},
  author={M. Bedeeuzzaman and Thasneem Fathima and Yusuf Uzzaman Khan and Omar Farooq},
  journal={Biomed. Signal Proc. and Control},
  year={2014},
  volume={10},
  pages={338-341}
}
Abstract Researches indicate that electrophysiological changes develop minutes to hours before the actual onset of epileptic seizures due to abnormal neuronal discharges. These precursors perceived through symptoms like sleep problems or headaches are observable from the analysis of the intracranial electroencephalogram (iEEG). It can be utilized as a major tool for seizure prediction well in advance. In this work an algorithm with a statistical feature set consisting of mean absolute deviation… CONTINUE READING

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