Project description
Advanced ICT for Risk Assessment and Patient Safety
Epilepsy is the commonest 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 has a strong impact on their everyday life, with temporary impairments of motoricity, perception, speech, memory or conscience.Epilepsy costs the countries of Europe over 20 billion ECU every year, most of which related to the untreatable patients, an amount that could be significantly reduced with effective action.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 multisignal 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 European Epilepsy Database, replicated in the three clinical partners, will also be built by the project, including all the available information about epileptic patients, allowing semantic mining based on multimodal, multisignal 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.
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
- natural sciencescomputer and information sciencesdatabases
- medical and health sciencesclinical medicinesurgery
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- natural sciencescomputer and information sciencesdata sciencedata processing
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Call for proposal
FP7-ICT-2007-1
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator Contact
Coordinator
3004-531 Coimbra
Portugal