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

Tags Brain-computer/machine interface

Sensorimotor rhythm (SMR) based Brain-Computer Interfaces (BCI) typically require lengthy user training. This can be exhausting and fatiguing…

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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

Tags Brain-computer/machine interface

Non-stationarity and inherent variability of the noninvasive electroencephalogram (EEG) makes robust recognition of spontaneous EEG patterns…

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Classification of Unconscious Like/Dislike Decisions: First Results towards a Novel Application for BCI Technology

Wriessnegger, Selina ;   Hackhofer, Daniel ;   Müller-Putz, Gernot

Tags Brain-computer/machine interfaceBrain physiology and modeling – Cognition, memory, perceptionBrain functional imaging – EEG

More and more applications for BCI technology emerge that are not restricted to communication or control, like gaming, rehabilitation, Neuro-IS…

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Goal-Directed or Aimless? EEG Differences during the Preparation of a Reach-and-Touch Task

Pereira, Joana ;   Ofner, Patrick ;   Müller-Putz, Gernot

Tags Brain-computer/machine interfaceBrain functional imaging – EEGNeural signals – Time-frequency analysis

The natural control of neuroprostheses is currently a challenge in both rehabilitation engineering and brain-computer interfaces (BCIs)…

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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

Tags Brain-computer/machine interfaceBrain functional imaging – EEGNeurological disorders

A promising approach to establish basic communication for disorders of consciousness (DOC) patients is the application of Brain-Computer…

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Movement Target Decoding from EEG and the Corresponding Discriminative Sources: A Preliminary Study

Ofner, Patrick ;   Müller-Putz, Gernot

Tags Brain-computer/machine interfaceBrain functional imaging – EEGNeural signals – Filtering

Brain-computer interfaces (BCIs) can detect movement imaginations (MI) which can act as a control signal for a neuroprosthesis of a…

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Reduction of EEG Artifacts in Simultaneous EEG-FMRI: Reference Layer Adaptive Filtering (RLAF)

Steyrl, David ;   Patz, Franz ;   Krausz, Gunther ;   Edlinger, Günter ;   Müller-Putz, Gernot

Tags Adaptive filtering

Although simultaneous measurement of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is one of the most…

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Sheet Music by Mind: Towards a Brain-Computer Interface for Composing

Pinegger, Andreas ;   Wriessnegger, Selina ;   Müller-Putz, Gernot

Tags Brain-computer/machine interfaceHuman performance – Activities of daily livingNeural signals – Filtering

Providing brain-computer interface (BCI) users engaging applications should be one of the main targets in BCI research. A painting application,…

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