Epilepsiae

The project intends to develop an intelligent alarming 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, multisignal and multidimensional data.

The Epilepsiae 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.

For further information, please visit:
http://www.epilepsiae.eu

Project co-ordinator:
FACULDADE CIENCIAS E TECNOLOGIA DA UNIVERSIDADE DE COIMBRA (Portugal)

Partners:

  • ALBERT-LUDWIGS-UNIVERSITAET FREIBURG (Germany)
  • MICROMED S.P.A. (Italy)
  • UNIVERSITAETSKLINIKUM FREIBURG (Germany)
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (France)
  • HOSPITAIS DA UNIVERSIDADE DE COIMBRA (Portugal)

Timetable: from 01/2008 – to 12/2010

Total cost: €4.153.125

EC funding: €2.919.805

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)

Related news article:

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...