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MoreGrasp

Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities

Total Cost €

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EC-Contrib. €

0

Partnership

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 MoreGrasp project word cloud

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

daily    decrease    gel    half    integrate    electrodes    interface    patterns    bcis    tremendous    life    society    loop    status    learned    semi    hands    neuroprosthesis    assessing    restoration    successful    adaptive    arrays    recording    follow    persons    interoperability    neuroprostheses    fes    suffering    living    industry    screening    sensory    members    qol    standards    moregrasp    web    multimodal    universities    intentions    training    centers    service    forum    injuries    usefulness    amplifiers    barrier    modular    cooperation    functional    more    feedback    impairments    wireless    personalized    sensors    cord    intelligent    predefined    grasp    assistive    spinal    sequences    interfaces    interdisciplinary    movements    autonomous    evaluation    electrode    decoding    centered    eeg    reliability    scalable    electrical    sci    software    motor    bilateral    history    consists    consequently    stimulation    individuals    rehabilitation    autonomously    brain    intuitive    quality    computer    inclusion    architectures    invasive    modeling    infrastructure    priorities   

Project "MoreGrasp" 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 http://www.moregrasp.eu/
 Total cost 3˙471˙452 €
 EC max contribution 3˙471˙452 € (100%)
 Programme 1. H2020-EU.2.1.1.4. (Content technologies and information management: ICT for digital content, cultural and creative industries)
 Code Call H2020-ICT-2014-1
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-03-01   to  2018-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET GRAZ AT (GRAZ) coordinator 675˙120.00
2    UNIVERSITATSKLINIKUM HEIDELBERG DE (HEIDELBERG) participant 682˙687.00
3    UNIVERSITY OF GLASGOW UK (GLASGOW) participant 626˙010.00
4    BIT & BRAIN TECHNOLOGIES SL ES (ZARAGOZA) participant 593˙986.00
5    KNOW-CENTER GMBH RESEARCH CENTER FOR DATA-DRIVEN BUSINESS & BIG DATA ANALYTICS AT (GRAZ) participant 558˙579.00
6    Medel Medizinische Elektronic Handelsgesellschaft mbH DE (Hamburg) participant 335˙069.00

Map

 Project objective

More than half of the persons with spinal cord injuries (SCI) are suffering from impairments of both hands, which results in a tremendous decrease of quality of life (QoL) and represents a major barrier for inclusion in society. Functional restoration is possible with neuroprostheses based on functional electrical stimulation (FES). However, current systems are non-intelligent, non-intuitive open loop systems without sensory feedback. MoreGrasp aims at developing a multi-adaptive, multimodal user interface including brain-computer interfaces (BCIs) for intuitive control of a semi-autonomous motor and sensory grasp neuroprosthesis to support activities of daily living in individuals with SCI. With such a system a bilateral grasp restoration may become reality. The multimodal interfaces will be based on non-invasive BCIs for decoding of movements intentions with gel-less electrodes and wireless amplifiers. The neuroprosthesis will include FES electrode arrays and different sensors to allow for implementation of predefined or autonomously learned sequences. MoreGrasp will consequently follow the concept of the user-centered design by providing a scalable, modular, user-specific neuroprosthesis together with personalized EEG recording technology. Novel multimodal software architectures including interoperability standards will be defined to integrate neuroprostheses into the field of assistive technology. Long-term end user studies will demonstrate the reliability, usefulness and impact on QoL of the MoreGrasp technology. A web-based service infrastructure including a discussion forum will be set up for assessing user priorities and screening of users’ status. The evaluation of the training and patterns of use will allow for user modeling to identify factors for successful use. The highly interdisciplinary MoreGrasp consortium consists of members from universities, industry and rehabilitation centers, which have a long history of successful cooperation.

 Deliverables

List of deliverables.
Registration and Matchmaking Platform I Demonstrators, pilots, prototypes 2019-05-31 12:28:34
Shared control evaluation Documents, reports 2019-05-31 12:28:36
Registration and Matchmaking Platform II Demonstrators, pilots, prototypes 2019-05-31 12:28:39
Review of sensors and integrated displays for the interactive environments Documents, reports 2019-05-31 12:28:30

Take a look to the deliverables list in detail:  detailed list of MoreGrasp deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Müller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, Iñaki 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 Brain–Computer Interface Meeting: brain–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 2019-05-29
2017 Roderick Murray-Smith
Stratified, computational interaction via machine learning
published pages: , ISSN: , DOI:
The Eighteenth Yale Workshop on Adaptive and Learning Systems, Ed. K. Narendra, Yale, June 21-23rd, 2017 2019-05-29
2018 Müller-Putz, G.R.; Ofner, P.; Schwarz, A.; Pereira, J.; Luzhnica, G.; di Sciascio, C.; Veas, E.; Stein, S.; Williamson, J.; Murray-Smith, R.; Escolano, C.; Montesano, L.; Hessing, B.; Schneiders, M.; Rupp, R.
Moregrasp: Restoration of Upper Limb Function in Individuals with High Spinal Cord Injury by Multimodal Neuroprostheses for Interaction in Daily Activities
published pages: , ISSN: , DOI: 10.3217/978-3-85125-533-1-62
2311-0422 1 2019-05-29
2016 Andreas Schwarz; Joana Pereira; Patrick Ofner; Müller-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
2 2019-05-29
2016 Patrick Ofner; Andreas Schwarz; Joana Pereira; Müller-Putz, Gernot R.
Time domain classification of grasp and hold tasks
published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-76
2 2019-05-29
2017 Patrick Ofner, Andreas Schwarz, Joana Pereira, Gernot R. Müller-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 2019-05-29
2016 Patrick Ofner; Andreas Schwarz; Joana Pereira; Müller-Putz, Gernot R.
Discriminating goal-directed from nongoal-directed movements and its potential impact for BCI control
published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-67
2 2019-05-29
2017 Joana Pereira, Patrick Ofner, Andreas Schwarz, Andreea Ioana Sburlea, Gernot R. Müller-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 2019-05-29
2016 Filip Melinscak, Luis Montesano
Beyond p-values in the evaluation of brain–computer interfaces: A Bayesian estimation approach
published pages: 30-45, ISSN: 0165-0270, DOI: 10.1016/j.jneumeth.2016.06.008
Journal of Neuroscience Methods 270 2019-05-29
2017 Jörg Müller, Antti Oulasvirta, Roderick Murray-Smith
Control Theoretic Models of Pointing
published pages: 1-36, ISSN: 1073-0516, DOI: 10.1145/3121431
ACM Transactions on Computer-Human Interaction 24/4 2019-05-29
2016 G.R. Müller-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 2019-05-29
2017 Maximilian Hommelsen, Matthias Schneiders, Christian Schuld, Philipp Keyl, Rüdiger Rupp
Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic Signals
published pages: , ISSN: 1662-5161, DOI: 10.3389/fnhum.2017.00523
Frontiers in Human Neuroscience 11 2019-05-29
2017 Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-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 2019-05-29
2015 Andrea Kübler, Gernot Müller-Putz, Donatella Mattia
User-centred design in brain–computer interface research and development
published pages: 312-314, ISSN: 1877-0657, DOI: 10.1016/j.rehab.2015.06.003
Annals of Physical and Rehabilitation Medicine 58/5 2019-05-29

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