Cargando…
Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?
Lab-based electroencephalography (EEG) techniques have matured over decades of research and can produce high-quality scientific data. It is often assumed that the specific choice of EEG system has limited impact on the data and does not add variance to the results. However, many low cost and mobile...
Autores principales: | Melnik, Andrew, Legkov, Petr, Izdebski, Krzysztof, Kärcher, Silke M., Hairston, W. David, Ferris, Daniel P., König, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371608/ https://www.ncbi.nlm.nih.gov/pubmed/28424600 http://dx.doi.org/10.3389/fnhum.2017.00150 |
Ejemplares similares
-
EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing
por: Melnik, Andrew, et al.
Publicado: (2017) -
Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World Measurements
por: Oliveira, Anderson S., et al.
Publicado: (2016) -
A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking
por: Oliveira, Anderson S., et al.
Publicado: (2017) -
Independent Component Analysis and Source Localization on Mobile EEG Data Can Identify Increased Levels of Acute Stress
por: Schlink, Bryan R., et al.
Publicado: (2017) -
An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons
por: Robbins, Kay, et al.
Publicado: (2017)