Objective
The treatment gap to diagnose and follow up people with epilepsy is around 40% in Europe, with a burden cost over 20 billion euros per year. Misdiagnosis is not rare, translating into huge societal cost of 0,2% of Gross domestic product. EEG, recognized as golden standard in epilepsy diagnosis, is often subjective to clinician’s expertise, spatial and temporal limitations due to traditional equipment. Mobile EEG system are inculcating advanced cutting edge technologies for better diagnosis, drastically improving patients’ usability.
We will introduce in the market the first clinically validated mobile diagnostic device for epilepsy diagnosis and remote monitoring, creating a killer application in an uncontested market space. EpiHelmet is a fully integrated mobile medical device able to acquire, transmit, analyse and manage EEG signals. The system will support physicians in clinical decision-making, with a patient-centered, cost-effective and computer-aided tool, providing a efficient epilepsy care management. It’s intended to be used at home and/or in primary healthcare units. Targeted customer segment will be neurology/neuro-physiology hospital department and epilepsy monitoring unit/specialist centre.
EpiHelmet is the first medical device that will support physicians with a seizure detection system, able to automatically determine the presence or absence of ongoing seizures in real time recording, through the extraction of useful and well know biomarkers, applying innovative and performed neuro-informatics techniques. In the scope of the feasibility study we will assess: feasibility of concept; Partner search, market analysis and exploitation strategy; IPR, quality, risk and organization route; Development work plan. The solution will overcome standard EEG equipment limitations, providing increased performances and added value, drastically improving misdiagnosis and treatment gaps with the consequence of a significant cost/benefit for customers and patients.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicineneurologyepilepsy
- social scienceseconomics and businessbusiness and managementbusiness models
- social sciencessociologygovernancecrisis management
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering
- social sciencessociologysocial issuesunemployment
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Programme(s)
Topic(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
00128 ROMA
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.