13.12.2012 Views

11th International Congress of the IUPESM - Medical Physics and ...

11th International Congress of the IUPESM - Medical Physics and ...

11th International Congress of the IUPESM - Medical Physics and ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

185<br />

Brazil); Ingrid Antunes (Federal University <strong>of</strong> Rio de Janeiro, Brazil);<br />

David Simpson (University <strong>of</strong> Southampton, United Kingdom)<br />

Developing computational detection <strong>of</strong> individual respiratory cycle<br />

phases from tracheal sound signal during sleep<br />

Antti Kulkas (<strong>Medical</strong> Imaging Centre, Pirkanmaa Hospital District,<br />

Tampere, Finl<strong>and</strong>, Finl<strong>and</strong>)<br />

A Wavelet-Based ECG Delineation in Multilead ECG Signals: Evaluation<br />

on <strong>the</strong> CSE Database<br />

Martin Vítek (Brno University <strong>of</strong> Technology, Czech Republic); Jan<br />

Hrubeš (Brno University <strong>of</strong> Technology, Czech Republic); Jiří<br />

Kozumplík (Brno University <strong>of</strong> Technology, Czech Republic)<br />

Th. 09: Poster Session : Track 04: Brain Computer Interfaces<br />

Automobile, which can Control an Autonomic nervous system<br />

Tomoyuki Yambe (Tohoku University, Japan)<br />

Using a P300 Brain Computer Interface for Smart Home Control<br />

Clemens Holzner (Guger Technologies OEG, Austria); Stefan<br />

Schaffelh<strong>of</strong>er (Guger technologies OEG, Austria); Christoph Guger<br />

(Guger Technologies OEG, Austria); Christoph Grönegress (Universitat<br />

Politècnia de Catalunya, Spain); Günter Edlinger (Guger Technologies,<br />

Austria); Mel Slater (University College London, United Kingdom)<br />

Instantaneous Gaze-Target Detection by Empirical Mode Decomposition:<br />

Application to Brain Computer Interface<br />

Po-Lei Lee (National Central University, Taiwan)<br />

Improving BCI performance by modified common spatial patterns with<br />

robustly averaged covariance matrices<br />

Motoaki Kawanabe (Fraunh<strong>of</strong>er Institute FIRST, Germany); Carmen<br />

Vidaurre (Berlin Institute <strong>of</strong> Technology, Germany)<br />

Repositioning precision <strong>of</strong> EEG-Caps – a preliminary study<br />

Michael de Wild (University <strong>of</strong> Applied Sciences Northwestern<br />

Switzerl<strong>and</strong>, Switzerl<strong>and</strong>); Simone Hemm-Ode (University <strong>of</strong> Applied<br />

Sciences Northwestern Switzerl<strong>and</strong>, Switzerl<strong>and</strong>)<br />

Detection <strong>of</strong> Steady-State Visual Evoked Potentials for Brain-Computer<br />

Interfaces Using PCA <strong>and</strong> High-Order Statistics<br />

Saeed Pouryazdian (Iran University <strong>of</strong> science <strong>and</strong> technology, Iran);<br />

Abbas Erfanian (Iran University <strong>of</strong> Science <strong>and</strong> Technology, Iran)<br />

Optimizing Visual Cues for Brain-Computer Interfaces<br />

Luis Jacinto (University <strong>of</strong> Minho, Portugal); Nuno Dias (University <strong>of</strong><br />

Minho, Portugal); José Correia (University <strong>of</strong> Minho, Portugal)<br />

Recognition <strong>of</strong> Arm-Movement Electroencephalography (EEG) Using<br />

Motor-Related Intrinsic Mode Functions Filtering <strong>and</strong> Cross Mutual<br />

Information

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!