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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2008".
- aggregation hasFormat 677825.bibtex.
- aggregation hasFormat 677825.csv.
- aggregation hasFormat 677825.dc.
- aggregation hasFormat 677825.didl.
- aggregation hasFormat 677825.doc.
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- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Epileptic seizure detection using Reservoir Computing".
- aggregation abstract "In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EEGs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of more than 0.99 on the data that was used. For absences an average detection delay of 0.3s was noted, for tonic-clonic seizures this was 1.5s. Since it was possible to process 15h of data on an average computer in 14.5 minutes all conditions are met for a fast and reliable real-time detection system.".
- aggregation authorList BK231910.
- aggregation isDescribedBy 677825.
- aggregation similarTo LU-677825.