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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Journal ArticleDOI
Relationship between slow-wave EEG bursts and heart rate changes in preterm infants.
TL;DR: It was found that spontaneous activity transients or slow wave EEG bursts during "Tracé alternant" (TA) can be accompanied by an HR acceleration of 1-2% and evidence of a coherent behaviour of EEG bursts and HR in the developing nervous system of preterm infants is given.
Proceedings ArticleDOI
New input modalities for modern game design and virtual embodiment
TL;DR: The Graz BCI Game Controller (GBGC) is introduced and techniques such as context dependence, dwell timers and other intelligent software tools were implemented in a new system to control the Massive Multiplayer Online Role Playing Game World of Warcraft (WoW).
A P300 BCI for e - inclusion, cognitive rehabilitation and smart home control
Ivo Käthner,Jean Daly,Sebastian Halder,J. Räderscheidt,Elaine Armstrong,Stefan Dauwalder,Christoph Hintermüller,Arnau Espinosa,Eloisa Vargiu,Andreas Pinegger,Josef Faller,Selina Wriessnegger,Felip Miralles,Hannah Lowish,Donald Markey,Gernot Müller-Putz,Suzanne Martin,Andrea Kübler +17 more
TL;DR: An easy-to-use P300 BCI system that allows users to control a variety of applications for communication, creative expression, training of cognitive abilities and environmental control is implemented and an evaluation of the following four applications is presented.
Journal ArticleDOI
Asynchronous steady-state visual evoked potential based BCI control of a 2-DoF artificial upper limb.
TL;DR: An asynchronous SSVEP-BCI, based on canonical correlation analysis, suitable for the control of a 2-degrees of freedom (DoF) hand and elbow neuroprosthesis is realization.
Journal ArticleDOI
The Role of Transient Target Stimuli in a Steady-State Somatosensory Evoked Potential-Based Brain-Computer Interface Setup.
TL;DR: The findings suggest that the attempt to combine different types of stimulation signals like repetitive signals and twitches has a mutual influence on each other, which may be the main reason for the rather moderate BCI performance.