Neurophysiology: Seizure Detection and Prediction

Encyclopedia of Basic Epilepsy Research

Volumn , Issue , 2009, Pages 1606-1613

  Gotman, J ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

EEG analysis; Seizure detection; Seizure prediction; Seizure warning

Indexed keywords

EID: 84864413386     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012373961-2.00250-2     Document Type: Chapter

References (15)

1. Elger C.E., Lehnertz K. Seizure prediction by non-linear time series analysis of brain electrical activity. European Journal of Neuroscience 1998, 10:786-789.
2. Gabor A.J. Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies. Electroencephalograpy and Clinical Neurophysiology 1998, 107(1):27-32.
3. Gotman J. Automatic recognition of epileptic seizures in the EEG. Electroencephalography and Clinical Neurophysiology 1982, 54(5):530-540.
4. Grewal S., Gotman J. An automatic warning system for epileptic seizures recorded on intracerebral EEGs. Clinical Neurophysiology 2005, 116(10):2460-2472.
5. Haut S.R., Hall C.B., Masur J., Lipton R.B. Seizure occurrence: Precipitants and prediction. Neurology 2007, 69:1905-1910.
6. Hopfengartner R., Kerling F., Bauer V., Stefan H. An efficient, robust and fast method for the offline detection of epileptic seizures in long-term scalp EEG recordings. Clinical Neurophysiology 2007, 118:2332-2343.
7. Klatchko A., Raviv G., Webber W.R., Lesser R.P. Enhancing the detection of seizures with a clustering algorithm. Electroencephalography and Clinical Neurophysiology 1998, 106(1):52-63.
8. Le Van Quyen M., Soss J., Navarro V., et al. Preictal state identification by synchronization changes in long-term intracranial EEG recordings. Clinical Neurophysiology 2005, 116(3):559-568.
9. Lopes da Silva F., Blanes W., Kalitzin S., Parra J., Suffczynski P., Velis D.N. Epilepsies as a dynamical disease of brain systems: Basic models of the transition between normal and epileptic activity. Epilepsia 2003, 44:72-83.
10. Martinerie J., Adam C., Le Van Q.M., et al. Epileptic seizures can be anticipated by non-linear analysis. Nature Medicine 1998, 4(10):1173-1176.
11. Mormann F., Andrzejak R.G., Elger C.E., Lehnertz K. Seizure prediction: The long and winding road. Brain 2007, 130:314-333.
12. Qu H., Gotman J. A seizure warning system for long-term epilepsy monitoring. Neurology 1995, 45(12):2250-2254.
13. Suffczynski P., Lopes da Silva F.H., Parra J., et al. Dynamics of epileptic phenomena determined from statistics of ictal transitions. IEEE Transactions on Biomedical Engineering 2006, 53:524-532.
14. Wilson S.B., Scheuer M.L., Emerson R.G., Gabor A.J. Seizure detection: Evaluation of the Reveal algorithm. Clinical Neurophysiology 2004, 115(10):2280-2291.
15. Winterhalder M., Maiwald T., Voss H.U., Aschenbrenner-Scheibe R., Timmer J., Schulze-Bonhage A. The seizure prediction characteristic: A general framework to assess and compare seizure prediction methods. Epilepsy and Behavior 2003, 4:318-325.