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Workshop
Brain-Computer Interfaces for Neurorehabilitation - BCI-Neurorehab 2015

17 November, 2015 - Lisbon, Portugal

In conjunction with the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX 2015

CHAIR

Arnau Espinosa
g.tec Guger Technologies OG
Austria
 
Brief Bio
Arnau Espinosa is a M.Sc. engineer in Telecommunications and Networks. He graduated at the Polytechnic University of Catalonia, Barcelona. Then he worked as a researcher at Philips Research in Eindhoven in the BCI-lab of Dr. Gary Garcia for one year. During this time he focuses on the BCI development and experimentation. After Philips work, he joined a PhD program on the UPF, Barcelona. Since 2012 he is a full-time employee at g.tec medical engineering GmbH, doing Research & Software Development.

SCOPE

Moderator:
Arnau Espinosa – g.tec medical engineering Spain

Schedule:

09:00 Welcome
Arnau Espinosa


09:10 Brain-Computer Interfaces for Communication and Rehabilitation
Arnau Espinosa

10:30 Coffee break

10:45 Classifying raw EEG signals using Deep Learning
Hugo Ferreira

11:35 Brain-Computer Interface and Functional Electrical Stimulation for Neurorehabilitation of Hand in Sub-acute Tetraplegic Patients (Functional and Neurological Outcomes)
Alexsandra Vuckovic

12:25 Now you will score, now you won't: can BCI neurotechnology support rehabilitation?
Michael Tangermann

13:15 Lunch break

14:15 Gaze-independent BCI combining visual and natural auditory stimuli
Gabriel Pires

15:05 Demonstration of Brain-Computer Interfaces for Communication and Rehabilitation
Arnau Espinosa

16:00 Closing
Arnau Espinosa

Speakers:
Arnau Espinosa – g.tec medical engineering Spain
Title: “Brain-Computer Interfaces for Communication and Rehabilitation”
Bio: M. Sc. Arnau Espinosa studied telecommunications engineering at the Universitat Politecnica de Catalunya (UPC). The topic of his master thesis was the design of an EEG motor imagery based brain computer interface. He is working on EEG, ECoG and spike based BCI projects within g.tec as software developer and researcher. Mr. Espinosa began working for the g.tec in 2012 and represented g.tec on several EU projects. As a Barcelona native, Mr. Espinosa is very familiar with the region and local stakeholders. He speaks fluent Catalan, Spanish and English.

Hugo Ferreira – University of Lisbon
Title: “Classifying raw EEG signals using Deep Learning”
Bio: Hugo Alexandre Ferreira is a researcher at the Institute of Biophysics and Biomedical Engineering (IBEB) and lecturer at the Faculty of Sciences of the University of Lisbon (FCUL). He holds both a medical and an engineering master's degree and also a PhD in physics. His research topics include brain connectivity and brain-computer interfaces. He is interested in understanding the neural correlates of BCI performance and in the development of innovative BCI applications.

Aleksandra Vuckovic - University of Glasgow
Title: “Brain-Computer Interface and Functional Electrical Stimulation for Neurorehabilitation of Hand in Sub-acute Tetraplegic Patients (Functional and Neurological Outcomes)”
Bio: Aleksandra Vuckovic completed her undergraduate studies at the Faculty of Electrical Engineering, University of Belgrade. She then received PhD from the Centre for Sensory-Motor Interaction, Aalborg University, Denmark in 2004, where she spent one more year as a PostDoc. Between 2005 and 2007 she worked as a senior research officer at the Brain-Computer Interface Group, Department of Computer Science, University of Essex. Since 2008 she has been working as a lecturer in Rehabilitation Engineering at School of Engineering, University of Glasgow.
Her research interest are in quantitative EEG analysis and in neurorehabilitation i.e. development and clinically testing novel rehabilitation techniques for sensory-motor deficits based on brain-computer interface.

Michael Tangermann
Title: "Now you will score, now you won't: can BCI neurotechnology support rehabilitation?"
Dr. Michael Tangermann graduated in 2000 at the University of Tübingen in computer science (diploma, major) and biology (minor). He received his PhD in
2007 on his research on novel machine learning approaches for brain-computer interface (BCI) systems in the lab of Prof. Dr. Wolfgang Rosenstiel (University of Tübingen), performed in close cooperation with the labs of Prof. Dr. Niels Birbaumer (University of Tübingen) and Prof. Dr. Bernhard Schölkopf (Max-Planck Institute for Empirical Inference, Tübingen). From 2005 to 2013, he was a member of the Berlin BCI (BBCI) research lab (Prof. Dr. Klaus-Robert Müller and Prof.
Dr. Benjamin Blankertz), first at Fraunhofer FIRST.IDA then at the Technical University of Berlin, Dept. Machine Learning. Since 2013 he is heading the Brain State Decoding laboratory (http://www.bsdlab.uni-freiburg.de) at the Albert-Ludwigs-University of Freiburg, Germany. Embedded within the cluster of excellence BrainLinks-BrainTools, his junior research group investigates novel machine learning approaches for BCI, especially in the context of clinical BCI applications.

Michael Tangermann actively supports the scientific community by co-organizing the BBCI data analysis competitions, BCI-related workshops and reviewing activity. He is associate editor for Frontiers, has hosted a special issue on the last BCI competition and engages as an editorial board member of "Brain-Computer Interfaces".

Topics of interest: BCI-supported rehabilitation after stroke, auditory BCI paradigms, patient BCI, covariates of BCI performance, adaptive decoding of brain states, analysis of non-stationary brain signals (EEG-, MEG-, ECoG-, and DBS data), mental state monitoring for user interface design.

Gabriel Pires - University of Coimbra
Title: "Gaze-independent BCI combining visual and natural auditory stimuli"
Bio: Gabriel Pires (PhD) is an Assistant Professor (Prof. Adjunto) at the Engineering Department of the Polytechnic Institute of Tomar (IPT), Integrated Researcher at the Institute for Systems and Robotics (ISR), University of Coimbra, and has research collaborations with the Institute of Biomedical Research on Light and Image (IBILI), University of Coimbra. Gabriel Pires holds a PhD in Electrical and Computer Engineering, University of Coimbra, since 2012. He has authored/coauthored over 30 scientific papers in journals and conferences of international standing and has been involved in several funded projects in the areas of human-computer interfaces and assistive mobile robotics. At ISR he integrates the Automation and Robotics for Human Life (AR4LIFE) Group. His current research interests include brain-computer interfaces based on electroencephalography, biomedical signal processing, multimodal interfaces and assistive technology. Currently, he is a member of the Board of the Portuguese Society for Rehabilitation Engineering and Accessibility - SUPERA, and is the responsible of the research Lab vita.ipt - Intelligent Ambient Assisted Living.
Gabriel Pires was awarded by the Fraunhofer AICOS in the Fraunhofer Portugal Challenge competition with the PhD theme "The effective use of brain-computer interfaces in real-world applications" in 2012, and was the winner of the 11º edition of Poliempreende 2014, a contest of ideas and business plans, with the Project "Wheelchair-HMU".

Secretariat Contacts
NEUROTECHNIX Workshop - BCI-Neurorehab 2015
e-mail: neurotechnix.secretariat@insticc.org
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