Examples of dynamic seizure prediction risk probabilities in subjects with seizure.

<p>Dynamic seizure prediction risk probabilities from 3 subjects with seizures are shown. Prior to seizure occurrences, there are increases in estimated preictal state probability. There are also elevations in preictal state probability not associated with immediate seizure. The hashed region...

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Bibliografiska uppgifter
Huvudupphovsman:	Jonathan Kim (2601136) (author)
Övriga upphovsmän:	Edilberto Amorim (12368915) (author), Vikram R. Rao (21702554) (author), Hannah C. Glass (21702557) (author), Danilo Bernardo (21702560) (author)
Publicerad:	2025
Ämnen:	Microbiology Physiology Pharmacology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> strategies term static predictions preictal state classification investigated quantitative electroencephalography identifying convolutional lstm higher temporal resolution false detection rate benchmarked current state based deep learning acute postnatal period 132 neonates containing 1 &# 8211 seizure occurrence periods seizure alarm system identified optimal performance expected calibration error seizure prediction horizons horizon seizure prediction series dl methods assessed convlstm performance seizure prediction strongest performance model calibration typically focused remains unexplored findings establish eeg data 68 events 281 hours
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Examples of dynamic seizure prediction risk probabilities in subjects with seizure.

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