Cargando…
Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness
Current research aims at identifying voluntary brain activation in patients who are behaviorally diagnosed as being unconscious, but are able to perform commands by modulating their brain activity patterns. This involves machine learning techniques and feature extraction methods such as applied in b...
Autores principales: | Höller, Yvonne, Bergmann, Jürgen, Thomschewski, Aljoscha, Kronbichler, Martin, Höller, Peter, Crone, Julia S., Schmid, Elisabeth V., Butz, Kevin, Nardone, Raffaele, Trinka, Eugen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839976/ https://www.ncbi.nlm.nih.gov/pubmed/24282545 http://dx.doi.org/10.1371/journal.pone.0080479 |
Ejemplares similares
-
HD-EEG Based Classification of Motor-Imagery Related Activity in Patients With Spinal Cord Injury
por: Höller, Yvonne, et al.
Publicado: (2018) -
EEG-Response Consistency across Subjects in an Active Oddball Task
por: Höller, Yvonne, et al.
Publicado: (2013) -
Reliability of EEG Measures of Interaction: A Paradigm Shift Is Needed to Fight the Reproducibility Crisis
por: Höller, Yvonne, et al.
Publicado: (2017) -
Imagine There Is No Plegia. Mental Motor Imagery Difficulties in Patients with Traumatic Spinal Cord Injury
por: Thomschewski, Aljoscha, et al.
Publicado: (2017) -
High Amplitude EEG Motor Potential during Repetitive Foot Movement: Possible Use and Challenges for Futuristic BCIs That Restore Mobility after Spinal Cord Injury
por: Thomschewski, Aljoscha, et al.
Publicado: (2017)