Neonatal seizure detection algorithms: The effect of channel count
Abstract: The number of electrodes used to acquire neonatal EEG signals varies between institutions. Therefore, tools for automatic EEG analysis, such as neonatal seizure detection algorithms, need to be able to handle different electrode montages in order to find widespread use. The aim of this study was to analyse the effect of montage on neonatal seizure detector performance. A full 18-channel montage was compared to reduced 3- and 8-channel montages using a convolutional neural network for seizure detection. Sensitivity decreased by 10 - 18 % for the reduced montages while specificity was mostly unaffected. Electrode artefacts and artefacts associated with biological rhythms caused incorrect classification of nonseizure activity in some cases, but these artefacts were filtered out in the 3-channel montage. Other types of artefacts had little effect. Reduced montages result in some reduction in classifier accuracy, but the performance may still be acceptable. Recording artefacts had a limited effect on detection accuracy.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Neonatal seizure detection algorithms: The effect of channel count ; volume:8 ; number:2 ; year:2022 ; pages:604-607 ; extent:4
Current directions in biomedical engineering ; 8, Heft 2 (2022), 604-607 (gesamt 4)
- Creator
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Borovac, Ana
Runarsson, Thomas Philip
Thorvardsson, Gardar
Gudmundsson, Steinn
- DOI
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10.1515/cdbme-2022-1154
- URN
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urn:nbn:de:101:1-2022090315350462550661
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:24 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Borovac, Ana
- Runarsson, Thomas Philip
- Thorvardsson, Gardar
- Gudmundsson, Steinn
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