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MRI4DEEG

An EEG calibration toolkit for monitoring rehabilitation of stroke patients.

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "MRI4DEEG" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

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 Netherlands [NL]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2019-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 12˙500.00
2    STICHTING VUMC NL (AMSTERDAM) participant 137˙500.00

Map

 Project objective

An EEG calibration toolkit for monitoring rehabilitation of stroke patients EEG records electric potential differences from electrodes attached to the human skin. Since it is a brain imaging technique that provides a direct measure of neural activity, it is an ideal device to monitor stroke rehabilitation. For instance, the amplitude of an EEG response to a fixed external stimulus on the wrist could act as a biomarker quantifying the number of active cells in the primary somatosensory cortex. In this way, an EEG system could work as a simple monitoring device rendering direct feedback to healthcare workers on the success of the applied therapeutic strategy. This would greatly help to select the most optimal therapy for the individual patient. However, with the current state of the art a direct comparison between EEG amplitudes of different subjects is not possible because these amplitudes are strongly affected by inter individual skull variations. In this PoC project a calibration step is proposed to reduce these influences on the EEG biomarker. We will develop a software toolkit, allowing to execute the required calibration step with a minimum of patient burden. We foresee that the prototype delivered by the end of the project can be developed into a commercial accessory EEG software device that can be provided to end users for relatively small add-on price. Best practices of EEG calibration will be disseminated by publications, presentations at conferences, a special workshop and business development activities.

 Publications

year authors and title journal last update
List of publications.
2019 Jan C de Munck, Andreas Daffertshofer, Victoria Montes-Restrepo, Theo JC Faes, Maureen Clerc, Joost Hulshof
Optimized application of double and single layer BEM for in vivo conductivity estimation
published pages: , ISSN: , DOI:
prepublication in ArXiv 2019-11-07

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The information about "MRI4DEEG" are provided by the European Opendata Portal: CORDIS opendata.

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