A Window in the Brain: Applying data science to quantitatively detect seizures with minimal-density EEG montage

Shima Abdullateef, Brian Jordan, Ailsa McLellan, Vera Nenadovic, Javier Escudero, Milly Lo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Gold-standard multi-channels electroencephalogram (EEG) seizure detection is not deliverable as a round-the-clock service in paediatric intensive care units (PICU). We are the first to demonstrate quantitative seizure detection is possible using 8-channels EEG montage. It is unknown if this type of seizure detection is possible with the 4-channels configuration that PICU team can reliably apply. Weaim to deliver an innovative seizure detection algorithm that can accurately detect seizures using only 4-channels. Quantitative ictal activity can be captured with as few as 4 EEG channels using our innovative seizure detection algorithm. A larger-scale validation study is required to ascertain its performance before facilitating clinical translation.
Original languageEnglish
Title of host publication14th European Paediatric Neurology Society Congress
Publication statusPublished - 30 Apr 2022
Event14th European Paediatric Neurology Society Congress: Precision in Child Neurology - SEC, Glasgow, United Kingdom
Duration: 28 Apr 20222 May 2022
https://epns-congress.com/

Conference

Conference14th European Paediatric Neurology Society Congress
Abbreviated titleEPNS2021
Country/TerritoryUnited Kingdom
CityGlasgow
Period28/04/222/05/22
Internet address

Keywords / Materials (for Non-textual outputs)

  • PhaseSynchrony
  • SeizureDetection

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