G
Gert Pfurtscheller
Researcher at Graz University of Technology
Publications - 510
Citations - 68013
Gert Pfurtscheller is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Electroencephalography & Brain–computer interface. The author has an hindex of 117, co-authored 507 publications receiving 62873 citations. Previous affiliations of Gert Pfurtscheller include University of Graz.
Papers
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Brain-Computer Communication based on the Dynamics of Brain Oscillations.
TL;DR: In this paper, a review of brain-computer communication based on motor imagery and the dynamics of brain oscillations is presented, and the concept of motor imagery as experimental strategy and two different modes of operation a brain computer interface can have are explained.
Proceedings ArticleDOI
Hilbert-transform based predictions of hand movements from EEG measurements
TL;DR: The envelope and the instantaneous main frequency of the filtered EEG signal, calculated by the Hilbert-Transform, are used as features and a Learning Vector Quantizer was used to predict the sides of the hand movements.
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
Discussion of "time-frequency techniques in biomedical signal analysis: a tutorial review of similarities and differences".
Christian Baumgartner,Katarzyna J. Blinowska,Andrzej Cichocki,Hartmut Dickhaus,Poitr J. Durka,Peter V. E. McClintock,Gert Pfurtscheller,Aneta Stefanovska,Shanbo Tong +8 more
TL;DR: Discussion of “Time-frequency techniques in Biomedical Signal Analysis: A Tutorial Review of Similarities and Differences” -
Book ChapterDOI
Chapter 62 Brain-computer communication based on the dynamics of brain oscillations
TL;DR: This chapter presents a review of brain-computer communication based on motor imagery and the dynamics of brain oscillations and an EEGbased brain switch that can control a FES-induced hand grasp of a tetraplegic and an approach towards an ECoG based brain switch.