Results 271 to 280 of about 48,609 (342)

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Hydrological modeling of flood impacts under land use and land cover change: A systematic review of tools, trends, and challenges. [PDF]

MethodsX
Oo TZ, Humphries UW.
europepmc   +1 more source

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

Sleep enhances gamma oscillations in the seizure onset zone and broadband activity in the irritative zone of focal cortical dysplasia

Epilepsia Open, EarlyView.
Abstract Objective Focal cortical dysplasia (FCD) is a leading cause of drug‐resistant epilepsy and is associated with sleep‐related seizures, yet the underlying electrophysiological mechanisms during different brain states remain poorly understood. We investigated whether fast oscillations (FOs) within the seizure onset zone (SOZ) and irritative zone (
Mohammad F. Khazali, Nina Schwoon, Armin Brandt, Matthias Dümpelmann, Yiwen Li Hegner, Nicolas Roehri, Dirk‐Matthias Altenmüller, Victoria San Antonio‐Arce, Peter C. Reinacher, Julia M. Nakagawa, Soroush Doostkam, Theo Demerath, Horst Urbach, Andreas Schulze‐Bonhage, Marcel Heers   +14 more
wiley   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm, Manuel Milling, Andreas Triantafyllopoulos, Alexander Kathan, Annica Franziska Dörsam, Johanna Löchner, Björn Schuller, Katrin Elisabeth Giel   +7 more
wiley   +1 more source

The analysis of bidirectional long short-term memory network model for construction of cultural gene map and information extraction. [PDF]

Sci Rep
Ding X, Wang J.
europepmc   +1 more source

The Area of Figures Representable by Buchi Automata (Algebraic Systems, Formal Languages and Computations)

, 2008
Izumi Takeuti
openalex   +1 more source

Some Remarks on Automata without Letichevsky Criteria (Algebraic Systems, Formal Languages and Conventional and Unconventional Computation Theory)

, 2004
Pál Dömösi
openalex   +1 more source