Avoiding post-processing with event-based detection in biomedical signals
OBJECTIVE: Finding events of interest is a common task in biomedical signal processing. The detection of epileptic seizures and signal artefacts are two key examples. Epoch-based classification is the typical machine learning framework to detect such signal events because of the straightforward appl...
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| Veröffentlicht in: | Ieee Transactions On Biomedical Engineering 2024-03, Vol.71 (8) |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
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