Papers with Code · CC BY-SA 4.0

Seizure Detection

3 평가 기록 2 datasets

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>

논문

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

2201.08780 2022-01-21 이 페이지의 평가 2건

AUROC: 0.92

EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks

1908.10432 2019-08-27 이 페이지의 평가 1건

Accuracy: 89.63%