CISUC

Output regularization of SVM seizure predictors: Kalman Filter versus the “Firing Power” method

Authors



Related Project

EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients

Conference

34th Annual International Conference of the IEEE EMBS 2012


Cited by

Year 2015 : 2 citations

 [HTML] Forecasting seizures using intracranial EEG measures and SVM in naturally occurring canine epilepsy
BH Brinkmann, EE Patterson, C Vite, VM Vasoli… - PloS one, 2015 - journals.plos.org
Abstract Management of drug resistant focal epilepsy would be greatly assisted by a reliable
warning system capable of alerting patients prior to seizures to allow the patient to adjust
activities or medication. Such a system requires successful identification of a preictal, or ...

 Early detection of epilepsy seizures based on a weightless neural network
K de Aguiar, FMG Franca, VC Barbosa… - … in Medicine and …, 2015 - ieeexplore.ieee.org
Abstract—This work introduces a new methodology for the early detection of epileptic
seizure based on the WiS-ARD weightless neural network model and a new approach in
terms of preprocessing the electroencephalogram (EEG) data. WiSARD has, among other ...

Year 2014 : 1 citations

 Couceiro, R., et al. "Neurally mediated syncope prediction based on changes of cardiovascular performance surrogates: Algorithms comparison." Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on. IEEE, 2014.