Automatic Seizure Detection in ECoG by Differential Operator and Windowed Variance

@article{Majumdar2011AutomaticSD,
  title={Automatic Seizure Detection in ECoG by Differential Operator and Windowed Variance},
  author={K. K. Majumdar and Pratap Vardhan},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2011},
  volume={19},
  pages={356-365}
}
Differential operator has long been used in image and signal processing with great success to detect significant changes. In this paper we show that differentiation can enhance certain features of brain electrophysiological signals, contaminated with noise, artifacts, and acquisition defects, leading to efficient detection of those changes. Windowed variance method has been very successful in detecting seizure onset in the brain electrophysiological signals. In this paper we have combined these… CONTINUE READING
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Hand, ROC Curves for Continuous Data

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