Academic Journal

Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care

Bibliographic Details
Title: Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care
Authors: S, Abdullateef, B, Jordan, V, Rae, A, McLellan, J, Escudero, V, Nenadovic, T, Lo
Source: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). :259-262
Publisher Information: IEEE, 2022.
Publication Year: 2022
Subject Terms: 03 medical and health sciences, 0302 clinical medicine, Critical Care, Seizures, Humans, Electroencephalography, Child, Electrodes, Algorithms
Description: Seizures frequently occur in paediatric emergency and critical care, with up to 74% being sub-clinical seizures making detection difficult. Delays in seizure detection and treatment worsen the neurological outcome of critically-ill patients. Gold-standard seizure detections using multi-channels electroencephalograms (EEG) require trained clinical physiologists to apply scalp electrodes and highly specialised neurologists to interpret and identify seizures. In this study, we extracted phase synchrony and cross-channel coherence amplitude across 4 and 8 pre-selected scalp EEG signals. Binary classification is used to determine whether the signal segment is seizure or non-seizure, and the predictions were compared against the gold-standard seizure onset markings. The application of the algorithm on a cohort of forty routinely collected EEGs from paediatric patients showed an average accuracy of 77.2 % and 76.5% using 4 and 8 channels, respectively. Clinical Relevance- This work demonstrates the feasibility of seizure detection with pre-defined 4 and 8 EEG electrodes with an average accuracy of 77%. This means for the first time seizure detection is possible using an EEG montage that can be applied readily at the bedside independent of expert input.
Document Type: Article
DOI: 10.1109/embc48229.2022.9871595
Access URL: https://pubmed.ncbi.nlm.nih.gov/36086154
Rights: STM Policy #29
Accession Number: edsair.doi.dedup.....6d28c77ea4ebd3ae449d13f1dca1d7df
Database: OpenAIRE
Description
DOI:10.1109/embc48229.2022.9871595