Detection of spectral instability in EEG recordings during the preictal period.
case_series · Level IV
Where this comes from
- Record sourced from PubMed, PMID 17873418.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.
Medical subject headings
- Algorithms
- Brain
- Diagnosis, Computer-Assisted
- Electroencephalography
- Epilepsy
- Pattern Recognition, Automated