Literature DB >> 10896192

Current trends in Graz Brain-Computer Interface (BCI) research.

G Pfurtscheller1, C Neuper, C Guger, W Harkam, H Ramoser, A Schlögl, B Obermaier, M Pregenzer.   

Abstract

This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and used e.g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated.

Mesh:

Year:  2000        PMID: 10896192     DOI: 10.1109/86.847821

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  44 in total

1.  Study of discriminant analysis applied to motor imagery bipolar data.

Authors:  Carmen Vidaurre; Reinhold Scherer; Rafael Cabeza; Alois Schlögl; Gert Pfurtscheller
Journal:  Med Biol Eng Comput       Date:  2006-12-01       Impact factor: 2.602

Review 2.  Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.

Authors:  Daryl R Kipke; William Shain; György Buzsáki; E Fetz; Jaimie M Henderson; Jamille F Hetke; Gerwin Schalk
Journal:  J Neurosci       Date:  2008-11-12       Impact factor: 6.167

3.  Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces.

Authors:  Eric C Leuthardt; Zac Freudenberg; David Bundy; Jarod Roland
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

4.  Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Authors:  Petar Horki; Teodoro Solis-Escalante; Christa Neuper; Gernot Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

Review 5.  Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.

Authors:  Han Yuan; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

6.  Improved accuracy using recursive bayesian estimation based language model fusion in ERP-based BCI typing systems.

Authors:  U Orhan; D Erdogmus; B Roark; B Oken; S Purwar; K E Hild; A Fowler; M Fried-Oken
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

7.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

8.  Short-time windowed covariance: a metric for identifying non-stationary, event-related covariant cortical sites.

Authors:  Timothy Blakely; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  J Neurosci Methods       Date:  2013-11-06       Impact factor: 2.390

9.  Offline analysis of context contribution to ERP-based typing BCI performance.

Authors:  Umut Orhan; Deniz Erdogmus; Brian Roark; Barry Oken; Melanie Fried-Oken
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

10.  Detection of movement-related potentials from the electro-encephalogram for possible use in a brain-computer interface.

Authors:  E Yom-Tov; G F Inbar
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

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