Article

Deep Learning for Automated Detection of Generalized Paroxysmal Fast Activity in Lennox-Gastaut Syndrome

2023-05-26

Abstract excerpt

<h4>Objectives: </h4> Generalized paroxysmal fast activity (GPFA) is a key EEG feature of Lennox-Gastaut Syndrome (LGS). Automated analysis of scalp EEG has been successful in detecting focal epileptiform abnormalities and generalized spike-wave discharges. Automatic detection of GPFA has been more challenging, due to its variability from patient to patient and similarity to normal brain rhythms such as sleep spin...

Topics

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

Identifiers and source

Literature Corpus work: c3a836b2-6dd3-5de1-844e-e4282f0d94d8
DOI: 10.1101/2023.05.21.23290211

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning for Automated Detection of Generalized Paroxysmal Fast Activity in Lennox-Gastaut SyndromeDOI 10.1101/2023.05.21.23290211Read

Automatic detection of generalized paroxysmal fast activity in Lennox-Gastaut syndrome using a bi-modal EEG time-frequency featureSemantic proximity Read

Computer-assisted EEG diagnostic review for idiopathic generalized epilepsySemantic proximity Read

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

Generalizable electroencephalographic classification of Parkinson’s Disease using deep learningSemantic proximity Read

Towards a Universal Map of EEG: A semantic, low-dimensional manifold for EEG Classification, Clustering and PrognosticationSemantic proximity Read

Automated estimation of frequency and spatial extent of periodic and rhythmic epileptiform activity from continuous electroencephalography dataSemantic proximity Read

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

Lennox-Gastaut syndrome and phenotype: secondary network epilepsies.Semantic proximity Read

Automated Interictal Epileptiform Discharge Detection From Scalp EEG Using Scalable Time-series Classification ApproachesSemantic proximity Read

An EEG Signals-based Deep Spatio-Temporal Feature Extraction with Dual Attention for Detecting Parkinson’s DiseaseSemantic proximity Read

Spontaneous fast-ultradian dynamics of polymorphic interictal events in drug-resistant focal epilepsySemantic proximity Read

TSD: Transformers for Seizure DetectionSemantic proximity Read