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EPILEPSIAE

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Acronym of the case:

EPILEPSIAE

Web address of the case:

Country of the case:

France , Germany , Italy , Portugal

Posting Date:

8 January 2010

Last Edited Date:

08 January 2010

Author:

Antonio Dourado (University of Coimbra)
EPILEPSIAE Logodourado's picture

Type of initiative

  • Project or service-imgProject or service

Case Abstract

Epilepsy is the most common serious brain disorder in every country, and probably the most universal of all medical disorders. In Europe six million people currently have epilepsy and fifteen million will have epilepsy at some time of their lives. Currently nearly 30% of these people cannot be treated by therapeutics based on pharmacological anticonvulsive medication or resective surgery and are completely subjected to the sudden and unforeseen seizures strike that have a strong impact on their everyday life, with temporary impairments on their motor capability, perception, speech, memory or conscience.

Epilepsy costs Europe over 20 billion Euros every year, most of which accounts for the untreatable patients; an amount that could be significantly reduced if effective action was undertaken.

The project intends to develop an intelligent alarm system, transportable by the patient, measuring the brain dynamical activity, capable of predicting the seizures; allowing the patient to assess the risk of his actual situation and improving his safety. The system is based on multi-signal information (EEG, ECG and others), intelligent data processing and wireless communications.

The project will develop knowledge (in data analysis), algorithms (of seizure prediction) and technologies (of data acquisition and wireless transmission) that integrated into an intelligent system will be an important step forward in economical affordable personal healthcare systems for neurological applications. A distributed European Epilepsy Database will also be built by the project, including all the available information about epileptic patients, allowing semantic mining based on multi-modal, multi-signal and multidimensional data.

The EPILEPSIA consortium consists of seven partners from 4 countries: 3 academic, 3 clinics, 1 industrial SME company, covering the whole value chain from theoretical conception to market products and final users.

Description of the case

Domain
Sector
Start date - End date
January 2008 (Ongoing)
Date operational
January 2008
Target Users
Add Patients | Health professionals
Scope
Pan-European
Status
Not applicable / Not available
Language(s)
English

Policy Context and Legal Framework

Wearable devices for eHealth are a research direction at present and in the future. European industry must keep itself at the foreground of it. Neurological disorders are a serious challenge for researchers and clinicians, since there are many people who can benefit from any progresses.

Project Size and Implementation

Type of initiative
Awareness-raising information
Overall Implementation approach
Partnerships between administration and/or private sector and/or non-profit sector
Technology choice
Not applicable/not available
Funding source
Public funding EU
Project size
Implementation: €1,000,000-5,000,000
Yearly cost:
€49-299,000

Implementation and Management Approach

The project has three main outputs: an European Database on Epilepsy, a computational framework for studies in seizure prediction and a transportable device (Brainatics) for warnings about a (predicted) coming seizure. The academic and clinical partners are charged with the first two and the industrial partner with the Brainatics. The management is based in a simple structure, easing communication among partners.  MBO (management by objectives) is tentatively implemented and the partners are subject to mutual evaluation.

Technology solution

The database is Oracle based, running in Solaris operating system, replicated in the three participating hospitals to have natural redondancy. At the end of the project it will have data from about 300 patients. The computational framework integrates into Matlab environment a set of functionalities and algorithms for seizure prediction. Brainatics, in the clinical version, is based on real-time EEG-ECG acquisition at high frequencies, by a wireless device transmitting through a Bluetooth network (installed in clinics) to a computer where the prediction algorithms are running.The patients can move inside the clinics under the constrain of the Bluetooth network.

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