A new era in electroencephalographic monitoring? Subscalp devices for ultra–long‐term recordings
J Duun‐Henriksen, M Baud, MP Richardson… - …, 2020 - Wiley Online Library
Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …
Seizure forecasting and cyclic control of seizures
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …
Automated interpretation of clinical electroencephalograms using artificial intelligence
Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but
require special expertise unavailable in many regions of the world. Artificial intelligence (AI) …
require special expertise unavailable in many regions of the world. Artificial intelligence (AI) …
Neuroimaging modalities in Alzheimer's disease: diagnosis and clinical features
Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive
decline until eventual death. AD affects millions of individuals worldwide in the absence of …
decline until eventual death. AD affects millions of individuals worldwide in the absence of …
Automated epileptic seizure detection in pediatric subjects of CHB-MIT EEG database—a survey
Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures.
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …
Electroencephalography (EEG) is a tool that assists neurologists in detecting epileptic …
A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Criteria for defining interictal epileptiform discharges in EEG: a clinical validation study
MA Kural, L Duez, V Sejer Hansen, PG Larsson… - Neurology, 2020 - AAN Enterprises
Objective To define and validate criteria for accurate identification of EEG interictal
epileptiform discharges (IEDs) using (1) the 6 sensor space criteria proposed by the …
epileptiform discharges (IEDs) using (1) the 6 sensor space criteria proposed by the …
Routine and sleep EEG: minimum recording standards of the International Federation of Clinical Neurophysiology and the International League Against Epilepsy
ME Peltola, M Leitinger, JJ Halford, KP Vinayan… - Clinical …, 2023 - Elsevier
This article provides recommendations on the minimum standards for recording routine
(“standard”) and sleep electroencephalography (EEG). The joint working group of the …
(“standard”) and sleep electroencephalography (EEG). The joint working group of the …
Seizure semiology: ILAE glossary of terms and their significance
S Beniczky, WO Tatum, H Blumenfeld… - Epileptic …, 2022 - Wiley Online Library
This educational topical review and Task Force report aims to address learning objectives of
the International League Against Epilepsy (ILAE) curriculum. We sought to extract detailed …
the International League Against Epilepsy (ILAE) curriculum. We sought to extract detailed …
[HTML][HTML] Machine learning for detection of interictal epileptiform discharges
C da Silva Lourenço, MC Tjepkema-Cloostermans… - Clinical …, 2021 - Elsevier
The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …