Back to search

Article

A Machine Learning Approach to Seizure Detection in a Rat Model of Post-Traumatic Epilepsy

2023-05-16

Abstract excerpt

Epilepsy is a common neurologic condition frequently investigated with rodent models, with seizures identified by electroencephalography (EEG). Given technological advances, large datasets of EEG amenable to machine learning approaches for identification of seizures are widespread. While such approaches have been explored for human EEGs, machine learning approaches to identifying seizures in rodent EEG are limited...

Topics

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

Identifiers and source

Literature Corpus work
d5952e1c-9bd6-528b-90a9-8a51cb10219f
DOI
10.21203/rs.3.rs-2895529/v1
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.
A Machine Learning Approach to Seizure Detection in a Rat Model of Post-Traumatic EpilepsyDOI 10.21203/rs.3.rs-2895529/v1
Select a neighboring publication to make it the new centre.