Results 191 to 200 of about 2,021,152 (244)

Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models. [PDF]

Sci Rep
Das A, Singh S, Kim J, Ahanger TA, Pise AA.   +4 more
europepmc   +1 more source

Facilitating the timely diagnosis of Lennox–Gastaut syndrome: A checklist to support clinical practice

Epileptic Disorders, EarlyView.
Abstract Objective To develop and evaluate a simple‐to‐use checklist to support physicians with the timely diagnosis of Lennox–Gastaut syndrome (LGS). Methods A panel of 10 pediatric and adult epileptologists used the International League Against Epilepsy (ILAE) criteria for LGS classification and definition to develop seven questions for the checklist,
Nicola Specchio, Alexis Arzimanoglou, Stéphane Auvin, Antonio Gil‐Nagel, Lieven Lagae, Rima Nabbout, Susanne Schubert‐Bast, Adam Strzelczyk, Eugen Trinka, J. Helen Cross   +9 more
wiley   +1 more source

Artificial Intelligence Approaches for EEG Signal Acquisition and Processing in Lower-Limb Motor Imagery: A Systematic Review. [PDF]

Sensors (Basel)
Moreno-Castelblanco SR, Vélez-Guerrero MA, Callejas-Cuervo M.   +2 more
europepmc   +1 more source

Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm. [PDF]

Front Med (Lausanne)
Al-Adhaileh MH, Ahmad S, Alharbi AA, Alarfaj M, Dhopeshwarkar M, Aldhyani THH.   +5 more
europepmc   +1 more source

NMDAR‐antibody encephalitis: Seizure semiology and EEG findings

Epileptic Disorders, EarlyView.
Abstract Background N‐methyl‐D‐aspartate receptor antibody encephalitis (NMDAR‐Ab‐E) is an autoantibody‐mediated disorder, characterized by acute development of neuropsychiatric symptoms, seizures, movement disorders, and autonomic instability. Objectives To describe acute seizure semiology and electroencephalogram (EEG) findings in patients with a ...
Maria Emilia C. Andraus, Bernard Liem, Sidra Aurangzeb, Mkael Symmonds, Adam E. Handel, Sarosh R. Irani, Arjune Sen   +6 more
wiley   +1 more source

A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification. [PDF]

Biomimetics (Basel)
Zhang W, Tang X, Dang X, Wang M.
europepmc   +1 more source

Refining the electroclinical phenotype of 15q11.2 microdeletion: EEG biomarker overlap with Angelman syndrome

Epileptic Disorders, EarlyView.
Abstract The 15q11.2 microdeletion is a chromosomal condition associated with a broad epileptic phenotype. It is differentiated from Angelman syndrome, which is typically a larger maternal deletion in an overlapping area. We describe a patient with a 15q11.2 microdeletion that has clinical and EEG biomarker features similar to those seen in Angelman ...
Hok Leong Chin, Joshua Chang, Douglas Nordli III   +2 more
wiley   +1 more source

State of the art in EEG signal features of mindfulness-based treatments for chronic pain. [PDF]

Neurol Sci
Duran D, Arpaia P, D'Errico G, Grazzi L, Lanteri P, Moccaldi N, Raggi A, Robbio R, Visani E.   +8 more
europepmc   +1 more source

Peripheral inflammatory markers and metabolic profiles in temporal lobe epilepsy and functional dissociative seizures

Epileptic Disorders, EarlyView.
Abstract Background Temporal lobe epilepsy (TLE) and functional dissociative seizures (FDS) are distinct conditions that share overlapping clinical, neuropsychiatric, and biological features, including depressive symptoms, obesity‐related metabolic dysregulation, and alterations in systemic inflammatory markers.
Betül Merd, Şeyma Benli, Fatmanur Merd, Meltem Sönmez, Füsun Ferda Erdoğan   +4 more
wiley   +1 more source

A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs. [PDF]

Sensors (Basel)
Xu H, Hassan SA, Haider W, Sun Y, Yu X.
europepmc   +1 more source