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.
Papers
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MoreGrasp: Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities
Gernot Müller-Putz,Patrick Ofner,Andreas Schwarz,Joana B. Pereira,Granit Luzhnica,Maria Cecilia Di Sciascio,Eduardo Veas,Sebastian Stein,John Williamson,Roderick Murray Smith,Carlos López Escolano,Luis Montesano,Björn Hessing,Matthias Schneiders,Rüdiger Rupp +14 more
TL;DR: The current state of the project, including the EEG system, preliminary results of natural movements decoding in people with SCI, the new electrode concept for the grasp neuroprosthesis, the shared control architecture behind the system and the implementation of a user-centered design are described.
Proceedings Article
Game-like Training to Learn Single Switch Operated Neuroprosthetic Control
TL;DR: A training procedure is described that allows subjects to produce one brain pattern (elicited with motor imagery) of two different durations (e.g., 1s and 3s) and shows that it is possible to elicit one brain patterns over two differenturations.
Book ChapterDOI
BNCI Horizon 2020 - Towards a Roadmap for Brain/Neural Computer Interaction
Clemens Brunner,Benjamin Blankertz,Febo Cincotti,Andrea Kübler,Donatella Mattia,Felip Miralles,Antinus Nijholt,Begonya Otal,Patric Salomon,Gernot Müller-Putz +9 more
TL;DR: The BNCI Horizon 2020 project as discussed by the authors aims to provide a roadmap for brain-computer interaction research for the next years, starting in 2013, and aiming at research efforts until 2020 and beyond.
Journal ArticleDOI
Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier.
Catarina Lopes-Dias,Andreea Ioana Sburlea,Katharina Breitegger,Daniela Wyss,Harald Drescher,Renate Wildburger,Gernot Müller-Putz +6 more
TL;DR: This work shows the feasibility of transferring an ErrP classifier from able-bodied participants to participants with SCI, for asynchronous detection of ErrPs in an online experiment without offline calibration, which provided immediate feedback to the users.
Journal ArticleDOI
Physiological Noise Removal from fNIRS Signals
TL;DR: The results show that all three methods are promising for reducing the influence from oxy-Hb signals, but only TF models fit for deoxy-HB signals are promising.