Article

Impact of Data Selection Strategies on EEG-Based Epilepsy Detection Using Stochastic Data Reduction and the EEG Continuity Principle

2025-11-26

Abstract excerpt

Epilepsy is a complex neurological condition characterized by recurrent seizures that manifest as both focal and generalized events, presenting unique challenges for diagnosis and treatment. This research investigated the impact of three distinct data selection strategies, the discrete selector technique, the continuous partial selector technique, and the complete selector technique, on electroencephalogram (EEG)-...

Topics

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

Identifiers and source

Literature Corpus work: 53d28834-c6f3-536f-9030-54be935722bb
DOI: 10.22541/au.176419314.42726046/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Impact of Data Selection Strategies on EEG-Based Epilepsy Detection Using Stochastic Data Reduction and the EEG Continuity PrincipleDOI 10.22541/au.176419314.42726046/v1Read

Automatic generalised seizure detection in clinical electroencephalography recordsSemantic proximity Read

Deep Learning-based Real-Time Seizure Detection and Multi-Seizure Classification on Pediatric EEGSemantic proximity Read

Feature-Optimized Hybrid AI Models for Explainable and Generalizable Epilepsy PredictionSemantic proximity Read

Attentive CNN EEG or ACE-SeizNet: An Attention-Enhanced CNN Model for Automated EEG-Based Seizure Detection through Multi-Domain Deep Feature FusionSemantic proximity Read

Research on automatic detection of epilepsy based on sliding time windowsSemantic proximity Read

Novel Deep Learning Framework for Detection of Epileptic Seizures using EEG SignalsSemantic proximity Read

EEG Classification for Neurological Disorders Using Frequency Band DecilesSemantic proximity Read

Unsupervised seizure annotation and detection with neural dynamic divergenceSemantic proximity Read

Real-Time EEG-Based Epileptic Seizure Prediction Using Artificial Intelligence: A Systematic ReviewSemantic proximity Read

Deep Learning-Based EEG Seizure Classification Using Comparative Time–Frequency Spectral RepresentationsSemantic proximity Read

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG SignalsSemantic proximity Read

TSD: Transformers for Seizure DetectionSemantic proximity Read