Back to search

Article

A Machine Learning Approach to Preictal Phase Detection in EEG

2024-02-26

Abstract excerpt

Epilepsy is a common neurological condition, typically diagnosed using Electroencephalogram (EEG). Large scale EEG datasets have recently been made publicly available, allowing the use of advanced Machine Learning (ML) algorithms to analyze EEG patterns associated with epilepsy. While most existing studies focus on identifying seizures in the EEG, few have tried to identify preictal EEG segments. Identifying preic...

Topics

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

Identifiers and source

Literature Corpus work
a4d00dcf-ffee-5168-b96a-187917f9e833
DOI
10.20944/preprints202402.1441.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 Preictal Phase Detection in EEGDOI 10.20944/preprints202402.1441.v1
Select a neighboring publication to make it the new centre.