Results 221 to 230 of about 675,181 (253)

Predicting levetiracetam neuropsychiatric adverse effects using graph‐theoretical electroencephalographic network metrics in drug‐naive focal epilepsy: A multicenter longitudinal study

open access: yesEpilepsia, EarlyView.
Abstract Objective Levetiracetam (LEV) is an antiseizure medication approved for focal and generalized epilepsy. Despite its efficacy, neuropsychiatric adverse effects (NP‐AEs) may lead to treatment discontinuation. Quantitative electroencephalographic (qEEG) graph‐theoretical analysis has emerged as a valuable tool for identifying neurophysiological ...
Marco Sferruzzi   +10 more
wiley   +1 more source

Ketogenic diet for infantile epileptic spasms

open access: yesEpilepsia Open, EarlyView.
Abstract Approximately half of all cases of Infantile Epileptic Spasms Syndrome (IESS) do not respond to vigabatrin and hormonal therapies. There is no clear consensus as to the second‐line therapy for IESS. Ketogenic diet (KD) has emerged as an effective treatment for certain drug‐resistant epilepsies and in many cases of IESS.
Morris H. Scantlebury   +3 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

open access: yesEnergy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Design of a Multi‐Complex Disturbance Generator Using Virtual Instrumentation for Power Quality Monitoring Research

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time power quality disturbance generator is developed using virtual instrumentation based on LabVIEW and NI MyDAQ. The system generates IEEE‐standard PQ events with controllable noise and harmonics. Measurement uncertainty analysis confirms its reliability for realistic testing of Power Quality Disturbance detection and classification algorithms.
Abdullah Saud   +5 more
wiley   +1 more source

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