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 …

Seizure forecasting and cyclic control of seizures

RE Stirling, MJ Cook, DB Grayden, PJ Karoly - Epilepsia, 2021 - Wiley Online Library
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …

Automated interpretation of clinical electroencephalograms using artificial intelligence

J Tveit, H Aurlien, S Plis, VD Calhoun… - JAMA …, 2023 - jamanetwork.com
Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but
require special expertise unavailable in many regions of the world. Artificial intelligence (AI) …

Neuroimaging modalities in Alzheimer's disease: diagnosis and clinical features

JH Kim, M Jeong, WR Stiles, HS Choi - International journal of molecular …, 2022 - mdpi.com
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 …

Automated epileptic seizure detection in pediatric subjects of CHB-MIT EEG database—a survey

J Prasanna, MSP Subathra, MA Mohammed… - Journal of Personalized …, 2021 - mdpi.com
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 …

A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
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 …

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 …

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 …

[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 …