English

Differential Operator in Seizure Detection

Quantitative Methods 2009-11-03 v1 Medical Physics Other Quantitative Biology

Abstract

Differential operators can detect significant changes in signals. This has been utilized to enhance the contrast of the seizure signatures in depth EEG or ECoG. We have actually taken normalized exponential of absolute value of single or double derivative of epileptic ECoG. Variance operation has been performed to automatically detect seizures. A novel method for determining the duration of seizure has also been proposed. Since all operations take only linear time, the whole method is extremely fast. Seven novel parameters have been introduced whose patient specific thresholding brings down the rate of false detection to a bare minimum. Results of implementation on the ECoG data of four epileptic patients have been reported with an ROC curve analysis. High value of the area under the ROC curve indicates excellent detection performance.

Cite

@article{arxiv.0911.0188,
  title  = {Differential Operator in Seizure Detection},
  author = {Kaushik Majumdar},
  journal= {arXiv preprint arXiv:0911.0188},
  year   = {2009}
}

Comments

15 pages, 3 figures, two tables. Submitted to Computers in Biology and Medicine (Elsevier)

R2 v1 2026-06-21T14:05:59.044Z