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Big Data EEG Recording and Analysis platform

Objective

The main objective of our project is to develop and commercialise a world`s first scalable, multipurpose, high-throughput, Big Data EEG Platform that connects and controls large number of individual EEG amplifiers at the same location. With this innovative solution, we are meeting increasing demands of researchers, doctors and other EEG practitioners for more efficient EEG recording, that has become a bottleneck in modern neuroscience, and for larger samples in EEG reseach.
Thus with the increased recording capacity of 10+ subjects simultaneously, up to 10 times faster recording output and up to 40% in cost savings compared to the existing EEG recording solutions, our innovative solution will disrupt the market for EEG research & medical diagnostics, EEG equipment and recording platforms and applied neuroscience. Furthermore, the high-throughput capabilities and the scalability of the WhiteBox platform provide an answer to a lack of larger databases of standardised and consistent EEG recordings, that enable Big Data approaches and which are crucial for the clinical validation of biomarkers. Our disruptive innovation not only makes the existing EEG recording and analysis faster and cheaper but through its scalability also represents a big opportunity to bring the benefits of EEG brain-imaging technology to new areas of use ranging from medical & research field (such as EEG based predictive disease diagnostics, personalised medicine, big data EEG analysis) to the emerging field of applied neuroscience (such as NeuroEducation, Neuromarketing/Consumer Neuroscience, Neuro-HR and Change Management, User Centred Neurodesign and EEG performance optimization in Professional Sports).
The purpose of the Phase 1 is to outline the full scope of further development potential of our innovative solution, involving the technical and business viability issues, also regarding the analysis of associated risks and the exploitation of the project`s commercial potential to the fullest.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2016-2017

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Coordinator

BLCKB, DRUZBA ZA APLIKATIVNO NEVROZNANOST
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
VOJKOVA CESTA 63
1000 LJUBLJANA
Slovenia

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Slovenija Zahodna Slovenija Osrednjeslovenska
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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