A Co-Adaptive Sensory Motor Rhythms Brain-Computer Interface based on Common Spatial Patterns and Random Forest
Schwarz, Andreas ; Scherer, Reinhold ; Steyrl, David ; Faller, Josef ; Müller-Putz, Gernot
Brain-computer/machine interface
Sensorimotor rhythm (SMR) based Brain-Computer Interfaces (BCI) typically require lengthy user training. This can be exhausting and fatiguing…
Bring Mental Activity into Action! an Enhanced Online Co-Adaptive Brain-Computer Interface Training Protocol
Scherer, Reinhold ; Faller, Josef ; Opisso, Eloy ; Costa, Ursula ; Steyrl, David ; Müller-Putz, Gernot
Brain-computer/machine interface
Non-stationarity and inherent variability of the noninvasive electroencephalogram (EEG) makes robust recognition of spontaneous EEG patterns…
Classification of Unconscious Like/Dislike Decisions: First Results towards a Novel Application for BCI Technology
Wriessnegger, Selina ; Hackhofer, Daniel ; Müller-Putz, Gernot
Brain-computer/machine interface
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Brain physiology and modeling – Cognition, memory, perception
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Brain functional imaging – EEG
More and more applications for BCI technology emerge that are not restricted to communication or control, like gaming, rehabilitation, Neuro-IS…
Goal-Directed or Aimless? EEG Differences during the Preparation of a Reach-and-Touch Task
Pereira, Joana ; Ofner, Patrick ; Müller-Putz, Gernot
Brain-computer/machine interface
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Brain functional imaging – EEG
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Neural signals – Time-frequency analysis
The natural control of neuroprostheses is currently a challenge in both rehabilitation engineering and brain-computer interfaces (BCIs)…
Improved Concept and First Results of an Auditory Single-Switch BCI for the Future use in Disorders of Consciousness Patients
Bauernfeind, Günther ; Horki, Petar ; Kurz, Eva-Maria ; Schippinger, Walter ; Pichler, Gerald ; Müller-Putz, Gernot
Brain-computer/machine interface
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Brain functional imaging – EEG
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Neurological disorders
A promising approach to establish basic communication for disorders of consciousness (DOC) patients is the application of Brain-Computer…
Movement Target Decoding from EEG and the Corresponding Discriminative Sources: A Preliminary Study
Ofner, Patrick ; Müller-Putz, Gernot
Brain-computer/machine interface
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Brain functional imaging – EEG
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Neural signals – Filtering
Brain-computer interfaces (BCIs) can detect movement imaginations (MI) which can act as a control signal for a neuroprosthesis of a…
Reduction of EEG Artifacts in Simultaneous EEG-FMRI: Reference Layer Adaptive Filtering (RLAF)
Steyrl, David ; Patz, Franz ; Krausz, Gunther ; Edlinger, Günter ; Müller-Putz, Gernot
Although simultaneous measurement of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is one of the most…
Sheet Music by Mind: Towards a Brain-Computer Interface for Composing
Pinegger, Andreas ; Wriessnegger, Selina ; Müller-Putz, Gernot
Brain-computer/machine interface
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Human performance – Activities of daily living
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Neural signals – Filtering
Providing brain-computer interface (BCI) users engaging applications should be one of the main targets in BCI research. A painting application,…
