G
Gernot Müller-Putz
Researcher at Graz University of Technology
Publications - 382
Citations - 14836
Gernot Müller-Putz is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Brain–computer interface & Motor imagery. The author has an hindex of 59, co-authored 366 publications receiving 12634 citations. Previous affiliations of Gernot Müller-Putz include University of Graz.
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Proceedings ArticleDOI
Kinect-based detection of self-paced hand movements: Enhancing functional brain mapping paradigms
TL;DR: The results of the study suggest that the Kinect device allows generation of trigger information that is comparable to the information that can be obtained from EMG.
Journal ArticleDOI
SAFE: An EEG dataset for stable affective feature selection
TL;DR: It is demonstrated that the recognition accuracy of aBCIs deteriorates when re-calibration is ruled out during long-term usage, and a stable feature selection method is proposed to choose the most stable affective features, for mitigating the accuracy deterioration to a lesser extent and maximizing the aBCI performance in the long run.
Journal ArticleDOI
The interplay of prefrontal and sensorimotor cortices during inhibitory control of learned motor behavior.
Selina Wriessnegger,Günther Bauernfeind,Kerstin Schweitzer,Silvia Erika Kober,Christa Neuper,Gernot Müller-Putz +5 more
TL;DR: The results showed, that inhibition/execution of learned motor programs depends on an interplay of focal increases and decreases of neural activity in prefrontal and sensorimotor areas regardless of the effector.
Journal ArticleDOI
Correlation between EEG burst-to-burst intervals and HR acceleration in preterm infants.
Klaus Pfurtscheller,Günther Bauernfeind,Gernot Müller-Putz,Berndt Urlesberger,Wilhelm Müller,Gert Pfurtscheller +5 more
TL;DR: The coupling between heart rate (HR) changes and electroencephalographic (EEG) bursts is confirmed in a larger group of preterm infants and semi-automatic detection of burst-to-burst intervals (BBI) is reported on and correlations between BBI and HR changes are found.
Journal ArticleDOI
Think2grasp - BCI-Controlled Neuroprosthesis for the Upper Extremity.
Rüdiger Rupp,Martin Rohm,Matthias Schneiders,Norbert Weidner,Vera Kaiser,Alex Kreilinger,Gernot Müller-Putz +6 more
TL;DR: In the European Project TOBI (Tools for Brain-Computer Interfaces) a motor imagery based, hybrid BCI (hBCI) for control of an upper extremity hybrid neuroprosthesis was evaluated following a user-centered design.