Seizure Detection

2 benchmarks175 papers

Seizure Detection is a binary supervised classification problem with the aim of classifying between seizure and non-seizure states of a patient.

<span class="description-source">Source: ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification </span>

Benchmarks

Seizure Detection on TUH EEG Seizure Corpus

Seizure Detection on CHB-MIT