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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.

Papers
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Journal ArticleDOI

Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis

TL;DR: Three independent components analysis (ICA) algorithms (Infomax, FastICA and SOBI) have been compared with other preprocessing methods in order to find out whether and to which extent spatial filtering of EEG data can improve single trial classification accuracy.
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"Virtual keyboard" controlled by spontaneous EEG activity

TL;DR: A "virtual keyboard" (VK) is a letter spelling device operated by spontaneous electroencephalogram (EEG) whereby the EEC is modulated by mental hand and leg motor imagery.
Book

Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction

TL;DR: This book provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications.
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Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients

TL;DR: This work compares ERD/ERS patterns in paraplegic patients (suffering from a complete spinal cord injury) and healthy subjects during attempted (active) and passive foot movements, and shows midcentral-focused beta ERD-ERS patterns during passive, active, and imagined foot movements in healthy subjects.
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15 years of BCI research at graz university of technology: current projects

TL;DR: Over the last 15 years, the Graz Brain-Computer Interface has been developed and all components such as feature extraction and classification, mode of operation, mental strategy, and type of feedback have been investigated.