Back to search

Article

VIDEO BASED DETECTION OF EPILEPTIC SEIZURES USING A THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK

2024-10-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Seizure detection in epilepsy monitoring units (EMU) is essential for the clinical assessment of drug-resistant epilepsy. Automated video analysis using machine learning provides a promising aid for seizure detection with resultant reduction in the resources required for diagnostic monitoring. We employ a 3D convolutional neural network with fully fine-tuned backbone layers to...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ccc9b44f-dda3-526a-be34-09a59e24369d
DOI
10.1101/2024.10.11.24315247
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
VIDEO BASED DETECTION OF EPILEPTIC SEIZURES USING A THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKDOI 10.1101/2024.10.11.24315247
Select a neighboring publication to make it the new centre.