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

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

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › robotics
• natural sciences › computer and information sciences › software › software applications › virtual reality
• medical and health sciences › clinical medicine › physiotherapy
• medical and health sciences › basic medicine › neurology › stroke

Programme(s)

• H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge

Topic(s)

• MSCA-RISE-2017 - Research and Innovation Staff Exchange

Call for proposal

H2020-MSCA-RISE-2017
See other projects for this call

Funding Scheme

MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Coordinator

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

Address

Belfield
4 Dublin
Ireland

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 13 500

Participants (5)

MATER MISERICORDIAE UNIVERSITY HOSPITAL

Ireland

EU contribution

€ 18 000

Address

Eccles Street
7 Dublin

Activity type

Other

UNIVERSITY OF ULSTER

United Kingdom

EU contribution

€ 18 000

Address

Cromore Road
BT52 1SA Coleraine

Activity type

Higher or Secondary Education Establishments

UNIVERSITA DEGLI STUDI DI PADOVA

Italy

EU contribution

€ 22 500

Address

Via 8 Febbraio 2
35122 Padova

Activity type

Higher or Secondary Education Establishments

G.TEC MEDICAL ENGINEERING GMBH

Austria

EU contribution

€ 72 000

Address

Sierningstrasse 14
4521 Schiedlberg

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

CONGREGAZIONE DELLE SUORE INFERMIERE DELL ADDOLORATA

Italy

EU contribution

€ 0

Address

Via Dante 11
22100 Como

Activity type

Research Organisations

Partners (1)

EKSO BIONICS INC

United States

Address

1414 Harbour Way South, Ste 1201
94804 Richmond

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)