About
Welcome to the web site of the research project "Multimodal
Epileptic Seizure Prediction from long-term EEG and ECG
measurements". This project is co-funded by the
Cyprus
Research Promotion Foundation (RPF) and the European
Regional Development Fund (ERDF) under the YGEIA/DYGEIA/0609(BE)/22
programme.
Project Summary
Epilepsy is a condition that affects 0.6-0.8% of the
world population, rendering it the most common
neurological disorder after stroke. It is characterized by
recurrent unprovoked seizures, due to abnormal, excessive
or synchronous neuronal activity in the brain and by a
vast range of causes, triggering events, symptoms and
brain locations where the seizures originate. In 25%
of the affected population, seizures cannot be controlled
by antiepileptic drugs or surgery. However, it has been
suggested, that at least some types of seizures are
predictable.
The objective of the present project is to perform
multimodal seizure prediction from long-term EEG and ECG
data, by also considering subjective prodromal
information. To this end we will:
- collect long-term simultaneous video-EEG and ECG
measurements and record the occurrence of prodromal
symptoms;
- assess the performance of existing and novel
patient-specific EEG and ECG seizure prediction
algorithms, placing emphasis on multivariate
approaches and statistical validation of the results;
- identify neural correlates of subjective
prodromal information;
- design efficient data fusion schemes that will
integrate the aforementioned multimodal information in
order to improve the overall prediction performance.
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