Detecting Seizures from a Low-density Montage with BrainsView

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

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

Abstract

Critically ill paediatric patients are at increased risk of having seizures without apparent clinical signs making clinical diagnosis particularly difficult. Undetected or delayed treatment of seizures worsens these patients’ functional neurological recovery.
An electroencephalogram (EEG) is the gold standard method to detect seizures. Certified clinical physiologists are required to apply high density montages and neurologists are needed to interpret the recordings and identify seizures. Neither are available round the clock in the paediatric critical care units (PCCU). Thus, there is a clinical need to develop a quantitative seizure detection method using a low-density EEG montage, which may be applied by the bedside nurses in PCCU. In this project, we aim to test and adapt the BrainView’s brain connectivity assessment software to detect seizures using only 8 channels from routinely collected multi-channels EEG.
Original languageEnglish
Title of host publicationBioMedEng2021
Publication statusPublished - 6 Sep 2021
EventBioMedEng21 -
Duration: 6 Sep 20217 Sep 2021
https://biomedeng21.com/

Conference

ConferenceBioMedEng21
Period6/09/217/09/21
Internet address

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