A multi-feature and multi-channel univariate selection process for seizure prediction

Clinical Neurophysiology

Volumn 116, Issue 3, 2005, Pages 506-516

  D'Alessandro, Maryann ^a   Vachtsevanos, George ^b   Esteller, Rosana ^c   Echauz, Javier ^c   Cranstoun, Stephen ^a   Worrell, Greg ^d   Parish, Landi ^a   Litt, Brian ^a,e  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c NeuroPace Inc   (United States)

^d MAYO CLINIC   (United States)

^e HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Classification; Feature extraction; Multiple channels; Multiple features; Seizure prediction

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CASE REPORT; ELECTRODE; ELECTROENCEPHALOGRAM; EPILEPSY; GENETICS; HUMAN; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; SEIZURE; TRAINING;

EID: 13844298785     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2004.11.014     Document Type: Article

References (16)

1. E. Chang Using genetic algorithms to select and create features for pattern classification IEEE international joint conference on neural networks 1990
2. D'Alessandro M. The utility of intracranial EEG feature and channel synergy for evaluating the spatial and temporal behavior of seizure precursors. PhD Dissertation, Georgia Institute of Technology, Atlanta 2001.
3. M. D'Alessandro Epileptic Seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients IEEE Trans Biomed Eng 50 2003 603 615
4. Echauz J, et al. Unified probabilistic framework for predicting and detecting seizure onsets in the brain and multitherapeutic device. US Patent 6,678,548.
5. Esteller R. Detection of seizure onset in epileptic patients from intracranial EEG signals. PhD Dissertation, Georgia Institute of Technology, Atlanta 2000.
6. Iasemidis L, Sackellares JC. Seizure warning and prediction. US Patent No. 6,304,775. 2001.
7. L. Iasemidis Nonlinear dynamics of ECoG data in temporal lobe epilepsy Electroencephalogr Clin Neurophysiol 5 1988 339
8. L. Iasemidis Preictal entrainment of a critical cortical mass is a necessary condition for seizure occurrence Epilepsia 1996 37
9. K. Lehnertz, and C. Elger Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity Phys Rev Lett 80 1998 5019 5022
10. K. Lehnertz, and B. Litt The First International Collaborative Workshop on Seizure Prediction: summary and data descriptions Clin Neurophysiol 116 2005 493 505
11. K. Lehnertz EEG nonlinear analysis in epilepsy J Clin Neurophysiol 18 2001 209 222
12. B. Litt, and J. Echauz Prediction of epileptic seizures Lancet Neurol 1 2002 22 30
13. B. Litt Epileptic seizures may begin hours in advance of clinical onset: a report of five patients Neuron 30 2001 51 64
14. A. Petrosian, and R. Homan The analysis of EEG texture content for seizure prediction EMBS proceedings of the 16th international conference of the IEEE 1994
15. A. Petrosian Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG Journal of Neurocomputing 30 2000 201 218
16. M. Rise Commercialization of seizure prediction technology promises and pitfalls of biosignal analysis: seizure prediction and management (A case study) EMBS proceedings of the 23rd international conference of the IEEE, Istanbul, Turkey 2001