Back to search

Article

Time-frequency embedding with contrastive pre-training allows sub-second seizure detection

2026-01-22

Abstract excerpt

Rapid and accurate detection of electrographic seizures is critical for both clinical diagnosis and neuroscience research. Although seizure identification is commonly performed in the time domain, analysis in the time-frequency domain provides a more comprehensive representation of seizure characteristics. In this study, we present a 3D convolutional neural network (CNN) that incorporates a trainable continuous wa...

Topics

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

Identifiers and source

Literature Corpus work
75399312-a6b7-542f-b00b-fa172cd347ab
DOI
10.64898/2026.01.21.700017
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.
Time-frequency embedding with contrastive pre-training allows sub-second seizure detectionDOI 10.64898/2026.01.21.700017
Select a neighboring publication to make it the new centre.