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Feel your Reach SIGNED

Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

Feel your Reach project word cloud

Explore the words cloud of the Feel your Reach project. It provides you a very rough idea of what is the project "Feel your Reach" about.

continuous interrupted realized 40 last function bci tremendous extremity mentally degrees injury error cumbersome unnatural decoder processing eeg record motor artificial givers quality attached care decade solution convert incorporates display persons alternative movement will functions injuries sci natural neuroprostheses directed transform mind 11 commands realize life movements mechanisms spinal 300 dependency individuals showed people decrease framework feel remaining brain joined cortical serve decoding grasping bypass elbow cord computer fiber tracts feedback tetraplegics neuroprosthesis body ideal hypothesize interface substantially naturally kinesthetic first suffering freedom corresponding sensory upper human intention dramatic grasp voluntary arm young machine nerve leads signals

Project "Feel your Reach" data sheet

The following table provides information about the project.

Coordinator	TECHNISCHE UNIVERSITAET GRAZ Organization address address: RECHBAUERSTRASSE 12 city: GRAZ postcode: 8010 website: www.tugraz.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Austria [AT]
Project website	https://www.tugraz.at/institute/ine/research/current-projects/feel-your-reach/
Total cost	1˙994˙161 €
EC max contribution	1˙994˙161 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2015-CoG
Funding Scheme	ERC-COG
Starting year	2016
Duration (year-month-day)	from 2016-05-01 to 2021-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAET GRAZ TECHNISCHE UNIVERSITAET GRAZ Organization address address: RECHBAUERSTRASSE 12 city: GRAZ postcode: 8010 website: www.tugraz.at contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	AT (GRAZ)	coordinator	1˙994˙161.00

Map

Project objective

In Europe estimated 300.000 people are suffering from a spinal cord injury (SCI) with 11.000 new injuries per year. The consequences of spinal cord injury are tremendous for these individuals. The loss of motor functions especially of the arm and grasping function – 40% are tetraplegics – leads to a life-long dependency on care givers and therefore to a dramatic decrease in quality of life in these often young individuals. With the help of neuroprostheses, grasp and elbow function can be substantially improved. However, remaining body movements often do not provide enough degrees of freedom to control the neuroprosthesis. The ideal solution for voluntary control of an upper extremity neuroprosthesis would be to directly record motor commands from the corresponding cortical areas and convert them into control signals. This would realize a technical bypass around the interrupted nerve fiber tracts in the spinal cord. A Brain-Computer Interface (BCI) transform mentally induced changes of brain signals into control signals and serve as an alternative human-machine interface. We showed first results in EEG-based control of a neuroprosthesis in several persons with SCI in the last decade, however, the control is still unnatural and cumbersome. The objective of FEEL YOUR REACH is to develop a novel control framework that incorporates goal directed movement intention, movement decoding, error processing, processing of sensory feedback to allow a more natural control of a neuroprosthesis. To achieve this aim a goal directed movement decoder will be realized, and continuous error potential decoding will be included. Both will be finally joined together with an artificial kinesthetic sensory feedback display attached to the user. We hypothesize that with these mechanisms a user will be able to naturally control an neuroprosthesis with his/ her mind only.

Publications

List of publications.
year	authors and title	journal	last update
2017	Catarina Lopes-Dias, Andreea Ioana Sburlea, and Gernot MÃ¼ller-Putz Error-related potentials with masked and unmasked onset during continuous control and feedback published pages: , ISSN: , DOI: 10.3217/978-3-85125-533-1-52	7th Graz Brain-Computer Interface Conference	2019-08-05
2017	R.J. Kobler, A.I. Sburlea, and G.R. MÃ¼ller-Putz A COMPARISON OF OCULAR ARTIFACT REMOVAL METHODS FOR BLOCK DESIGN BASED ELECTROENCEPHALOGRAPHY EXPERIMENTS published pages: , ISSN: , DOI: 10.3217/978-3-85125-533-1-44	7th Graz Brain-Computer Interface Conference	2019-08-05
2018	Andreas Schwarz, Patrick Ofner, Joana Pereira, Andreea Ioana Sburlea, Gernot R MÃ¼ller-Putz Decoding natural reach-and-grasp actions from human EEG published pages: 16005, ISSN: 1741-2560, DOI: 10.1088/1741-2552/aa8911	Journal of Neural Engineering 15/1	2019-08-06
2016	Patrick Ofner; Andreas Schwarz; Joana Pereira; MÃ¼ller-Putz, Gernot R. Movements of the same upper limb can be classified from low-frequency time-domain EEG signals published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-69	Proceedings of the 6th Brain-Computer Interface Meeting 1	2019-06-18
2016	G.R. MÃ¼ller-Putz, A. Schwarz, J. Pereira, P. Ofner From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach published pages: , ISSN: , DOI: 10.1016/bs.pbr.2016.04.017	Progress in Brain Research	2019-06-18
2018	David Steyrl, Gunther Krausz, Karl Koschutnig, GÃ¼nter Edlinger, Gernot R. MÃ¼ller-Putz Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF) published pages: 129-149, ISSN: 0896-0267, DOI: 10.1007/s10548-017-0606-7	Brain Topography 31/1	2019-06-18
2017	Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina HÃ¶ller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot MÃ¼ller-Putz Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline published pages: , ISSN: 1743-0003, DOI: 10.1186/s12984-017-0344-9	Journal of NeuroEngineering and Rehabilitation 14/1	2019-06-18
2017	Patrick Ofner, Andreas Schwarz, Joana Pereira, Gernot R. MÃ¼ller-Putz Upper limb movements can be decoded from the time-domain of low-frequency EEG published pages: e0182578, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0182578	PLOS ONE 12/8	2019-06-18
2017	Joana Pereira, Patrick Ofner, Andreas Schwarz, Andreea Ioana Sburlea, Gernot R. MÃ¼ller-Putz EEG neural correlates of goal-directed movement intention published pages: 129-140, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.01.030	NeuroImage 149	2019-06-18
2017	Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, RÃ¼diger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot MÃ¼ller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, IÃ±aki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jennifer L. Collinger, Ricardo Chavarriaga, Steven M. Chase, Martin G. Bleichner, Aaron Batista, Charles W. Anderson, Erik J. Aarnoutse Workshops of the Sixth International Brainâ€“Computer Interface Meeting: brainâ€“computer interfaces past, present, and future published pages: 3-36, ISSN: 2326-263X, DOI: 10.1080/2326263X.2016.1275488	Brain-Computer Interfaces 4/1-2	2019-06-18
2016	Andreas Schwarz; Patrick Ofner; Joana Pereira; MÃ¼ller-Putz, Gernot R. Time domain classification of grasp and hold tasks published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-76	Proceedings of the 6th Brain-Computer Interface Meeting 1	2019-06-18
2018	Andreea I. Sburlea, Gernot R. MÃ¼ller-Putz Exploring representations of human grasping in neural, muscle and kinematic signals published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-35018-x	Scientific Reports 8/1	2019-04-18
2018	Catarina Lopes Dias, Andreea I Sburlea, Gernot R MÃ¼ller-Putz Masked and unmasked error-related potentials during continuous control and feedback published pages: 36031, ISSN: 1741-2560, DOI: 10.1088/1741-2552/aab806	Journal of Neural Engineering 15/3	2019-05-03
2018	Joana Pereira, Andreea Ioana Sburlea, Gernot R. MÃ¼ller-Putz EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-31673-2	Scientific Reports 8/1	2019-04-18
2018	Reinmar J. Kobler, Andreea I. Sburlea, Gernot R. MÃ¼ller-Putz Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-36326-y	Scientific Reports 8/1	2019-04-18

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