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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.

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Proceedings Article

Brain-Computer Interface - state of the art and future prospects

TL;DR: A Brain-Computer Interface is a communication system in which messages or commands that a user wishes to convey pass not through the brain's normal output pathways to the muscles but are instead extracted directly from brain signals.
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Measurement of the quality of hand contractions.

TL;DR: The Elektro-Dynamo-Meter as discussed by the authors is an instrument based on a hybrid pressure transducer and a microcomputer, which is used to measure hand contractions.
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Phasic heart rate changes during word translation of different difficulties.

TL;DR: It is shown that anticipatory HR deceleration and HR changes induced by motor preparation and activity due to typing the translation do not depend on task difficulty, providing first evidence of a link between task difficulty in language translation and event-related HR changes.
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Brainstem Auditory Evoked Potentials in Respiratory Insufficiency Following Encephalitis

TL;DR: Brainstem auditory evoked potentials in patients with respiratory insufficiency resulting from severe inflammatory encephalopathies showed prolonged interpeak latencies and delayed absolute latencies of waves I, II, III, and V and the electrophysiologic abnormalities of wave III and the IV/V complex may be a reflection of the disturbed central control of ventilation.
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Post-Movement EEG Synchronization Studied with Different High Resolution Methods

TL;DR: In this article, spline surface Laplacian (LP), linear estimation (LE) and analytical deblurring (AD) were used to improve the spatial resolution of single trial EEG data.