Empirical mode decomposition processing to improve multifocal-visual-evoked-potential signal analysis in multiple sclerosis.
To study the performance of multifocal-visual-evoked-potential (mfVEP) signals filtered using empirical mode decomposition (EMD) in discriminating, based on amplitude, between control and multiple sclerosis (MS) patient groups, and to reduce variability in interocular latency in control subjects.MfV...
Main Authors: | Luis de Santiago, Eva Sánchez-Morla, Román Blanco, Juan Manuel Miguel, Carlos Amo, Miguel Ortiz Del Castillo, Almudena López, Luciano Boquete |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5909914?pdf=render |
Similar Items
-
Correction: Empirical mode decomposition processing to improve multifocal-visual-evoked-potential signal analysis in multiple sclerosis.
by: PLOS ONE Staff
Published: (2018-01-01) -
Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis
by: Rodríguez-Ascariz José M, et al.
Published: (2011-05-01) -
Using advanced analysis of multifocal visual-evoked potentials to evaluate the risk of clinical progression in patients with radiologically isolated syndrome
by: J. M. Miguel, et al.
Published: (2021-01-01) -
Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method.
by: L Boquete, et al.
Published: (2019-01-01) -
Extraction of Auditory Evoked Fields in MEG data using Empirical Mode Decomposition
by: Tian-cheng Chiu, et al.
Published: (2009)