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

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...

Call for Papers: AI Applications in Biom…

JMIR Biomedical Engineering is inviting submissions for a new section titled "AI Applications in Biomedical Engineering." This themed section explores the integration of biomedical engineering and artificial intelligence (AI), focusing...