Functional Magnetic Resonance Imaging based BCI for Neurorehabilitation
@inproceedings{Sitaram2006FunctionalMR, title={Functional Magnetic Resonance Imaging based BCI for Neurorehabilitation}, author={Ranganatha Sitaram and Veit R Caria A and K{\^a}mil Uludağ and Tilman Gaber and Andrea K{\"u}bler and Niels Birbaumer}, year={2006} }
No Paper Link Available
6 Citations
Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general.
- Computer ScienceJournal of neural engineering
- 2011
A unifying categorization of BCI-based applications, including the novel approach of passive BCI is proposed, which focuses on applications for healthy users, and the specific requirements and demands of this user group.
fMRI-BCI: a Review
- Computer Science
- 2009
An overview to fMRI-BCI is presented, mainly put on the methods of signal acquisition, signal preprocessing, and signal analysis of basic fMRI -BCI structure.
Analysis of nonstationarities in EEG signals for improving brain-computer interface performance
- Computer Science
- 2008
A new framework for nonstationary data analy sis is presented, which encompasses methods for the quantification and visualization of non stationary p rocesses, and some neurophysiological evidence for the sources of the nonstationarity is shown.
fMRI Brain-Computer Interfaces
- Computer ScienceIEEE Signal Processing Magazine
- 2008
A general architecture of an fMRI-BCI is presented, with descriptions of each of its subsystems, and factors influencing their performance, and a variety of approaches toward signal acquisition, preprocessing, analysis, and feedback are described.
BioSig - an open source software library for BCI research
- Computer Science, Biology
- 2007
This chapter provides an overview of the current status and an outline of future possibilities of BioSig, an open-source software library for biomedical signal processing that includes several classification methods for single-trial classification of EEG.