Cargando…
Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review
Brain-computer interfaces (BCIs) have emerged as a promising technology for enhancing communication between the human brain and external devices. Electroencephalography (EEG) is particularly promising in this regard because it has high temporal resolution and can be easily worn on the head in everyd...
Autores principales: | Schmoigl-Tonis, Mathias, Schranz, Christoph, Müller-Putz, Gernot R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619676/ https://www.ncbi.nlm.nih.gov/pubmed/37920561 http://dx.doi.org/10.3389/fnhum.2023.1251690 |
Ejemplares similares
-
Editorial: Towards dependable brain computer/machine interfaces for movement control
por: Müller-Putz, Gernot R., et al.
Publicado: (2023) -
Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories
por: Srisrisawang, Nitikorn, et al.
Publicado: (2022) -
Editorial: Women in brain-computer interfaces
por: Lugo, Zulay R., et al.
Publicado: (2023) -
Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals
por: Wriessnegger, Selina C., et al.
Publicado: (2022) -
The Role of Transient Target Stimuli in a Steady-State Somatosensory Evoked Potential-Based Brain–Computer Interface Setup
por: Pokorny, Christoph, et al.
Publicado: (2016)