32 search results - page 2 / 7 » Nonlinear classification of EEG data for seizure detection |
IDA
2010
Springer
13 years 8 months ago
2010
Springer
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
KES
2008
Springer
13 years 4 months ago
2008
Springer
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
IAJIT
2008
13 years 4 months ago
2008
: Many studies have focused on the nonlinear analysis of electroencephalography mainly for the characterization of epileptic brain states. The spatial and temporal dynamics of the ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
ICANN
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. Traditional seizure detection algorithms act on single channels ignoring the synchronously recorded, inherently interdependent multichannel nature of EEG. However, the sp...