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PRO GAIT SIGNED

Physiological and Rehabilitation Outcomes: Gains from Automated Interventions in stroke Therapy (PRO GAIT)

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "PRO GAIT" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN 

Organization address
address: BELFIELD
city: DUBLIN
postcode: 4
website: www.ucd.ie

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 Ireland [IE]
 Total cost 157˙500 €
 EC max contribution 144˙000 € (91%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2017
 Funding Scheme MSCA-RISE
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN IE (DUBLIN) coordinator 13˙500.00
2    G.TEC MEDICAL ENGINEERING GMBH AT (SCHIEDLBERG) participant 72˙000.00
3    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) participant 22˙500.00
4    MATER MISERICORDIAE UNIVERSITY HOSPITAL IE (DUBLIN) participant 18˙000.00
5    UNIVERSITY OF ULSTER UK (COLERAINE) participant 18˙000.00
6    CONGREGAZIONE DELLE SUORE INFERMIERE DELL ADDOLORATA IT (Como) participant 0.00
7    EKSO BIONICS INC US (RICHMOND) partner 0.00

Map

 Project objective

Developments in robotics allow people with profound neuromuscular deficits after stroke to walk with assistance (during the gait cycle) using an exoskeleton robot. Integrating a robotic device with individualised user electroencephalography (EEG /electrical activity in the motor areas in the brain) and EMG (muscle)feedback would allow more physiological and targeted gait parameters in response to effort, and confer neuroplastic training effects including neuromodulation of temporal and spatial features of gait. Future integration of EEG/EMGsignals with robotic devices will allow patient initiated movement through thought and/or attempted effort, where currently parameters for devices are therapist set and usage is not functionally driven by the patient. Advancement in this regard is stalled primarily because of difficulty in 3D modelling of gait by EEG. This collaborative consortium through secondments and return and built in knowledge sharing strategies will exchange knowledge and expertise across: Design, development and production of exoskeleton gait devices; neuro-rehabilitation; bioelectric EEG/EMG signal capture and interpretation; mathematical modelling and brain computer interface (BCI) platform development can advance the state of the art in gait rehabilitation after stroke rehabilitation. The proposal will allow development of 3D modelling of gait, for gait restoration and explore integration with robotics from multi-stakeholder perspectives. Aims: 1. Define current state of the art in EEG modelling of gait post stroke by systematic review and meta-synthesis 2. Complete 3D modelling of gait as visualised gait, overground gait and robotic walking in healthy individuals and stroke survivors 3. Develop and test a virtual reality BCI gait training device, including end-user feedback 4. Explore integration of this prototype with robotic software platforms

 Deliverables

List of deliverables.
Website development and maintenence Websites, patent fillings, videos etc. 2020-03-24 00:35:43
Communication collateral Documents, reports 2020-03-24 00:35:43

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

 Publications

year authors and title journal last update
List of publications.
2019 Alexander Heilinger, Máire Claffey, Olive Lennon
SYSTEMATIC REVIEW OF THE STATE-OF-THE-ART IN BRAINCOMPUTER INTERFACE ROBOTIC WALKING IN STROKE
published pages: , ISSN: , DOI: 10.3217/978-3-85125-682-6-30
2020-03-24
2018 Alexander Heilinger, Olive Lennon, Rupert Ortner
A systematic review of non-invasive electrical biosignal (Electroencephalography (EEG) and/or Electromyography (EMG)) use during exoskeleton robotic gait training after stroke
published pages: , ISSN: , DOI:
PROSPERO International prospective register of systematic reviews 2020-03-24

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The information about "PRO GAIT" are provided by the European Opendata Portal: CORDIS opendata.

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