96 related articles for article (PubMed ID: 16463085)
1. On prediction of epileptic seizures by means of genetic programming artificial features.
Firpi H; Goodman E; Echauz J
Ann Biomed Eng; 2006 Mar; 34(3):515-29. PubMed ID: 16463085
[TBL] [Abstract][Full Text] [Related]
2. Epileptic seizure detection using genetically programmed artificial features.
Firpi H; Goodman ED; Echauz J
IEEE Trans Biomed Eng; 2007 Feb; 54(2):212-24. PubMed ID: 17278578
[TBL] [Abstract][Full Text] [Related]
3. Genetic programming artificial features with applications to epileptic seizure prediction.
Firpi H; Goodman E; Echauz J
Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():4510-3. PubMed ID: 17281241
[TBL] [Abstract][Full Text] [Related]
4. Long-term prospective on-line real-time seizure prediction.
Iasemidis LD; Shiau DS; Pardalos PM; Chaovalitwongse W; Narayanan K; Prasad A; Tsakalis K; Carney PR; Sackellares JC
Clin Neurophysiol; 2005 Mar; 116(3):532-44. PubMed ID: 15721067
[TBL] [Abstract][Full Text] [Related]
5. On the predictability of epileptic seizures.
Mormann F; Kreuz T; Rieke C; Andrzejak RG; Kraskov A; David P; Elger CE; Lehnertz K
Clin Neurophysiol; 2005 Mar; 116(3):569-87. PubMed ID: 15721071
[TBL] [Abstract][Full Text] [Related]
6. A multi-feature and multi-channel univariate selection process for seizure prediction.
D'Alessandro M; Vachtsevanos G; Esteller R; Echauz J; Cranstoun S; Worrell G; Parish L; Litt B
Clin Neurophysiol; 2005 Mar; 116(3):506-16. PubMed ID: 15721064
[TBL] [Abstract][Full Text] [Related]
7. Analysis of temporal non-stationarities in EEG signals by means of parametric modelling.
Tognola G; Ravazzani P; Minicucci F; Locatelli T; Grandori F; Ruohonen J; Comi G
Technol Health Care; 1996 Aug; 4(2):169-85. PubMed ID: 8885095
[TBL] [Abstract][Full Text] [Related]
8. Signal complexity and synchrony of epileptic seizures: is there an identifiable preictal period?
Jouny CC; Franaszczuk PJ; Bergey GK
Clin Neurophysiol; 2005 Mar; 116(3):552-8. PubMed ID: 15721069
[TBL] [Abstract][Full Text] [Related]
9. Do false predictions of seizures depend on the state of vigilance? A report from two seizure-prediction methods and proposed remedies.
Schelter B; Winterhalder M; Maiwald T; Brandt A; Schad A; Timmer J; Schulze-Bonhage A
Epilepsia; 2006 Dec; 47(12):2058-70. PubMed ID: 17201704
[TBL] [Abstract][Full Text] [Related]
10. Prediction of epileptic seizures using accumulated energy in a multiresolution framework.
Gigola S; Ortiz F; D'Attellis CE; Silva W; Kochen S
J Neurosci Methods; 2004 Sep; 138(1-2):107-11. PubMed ID: 15325118
[TBL] [Abstract][Full Text] [Related]
11. EPILAB: a software package for studies on the prediction of epileptic seizures.
Teixeira CA; Direito B; Feldwisch-Drentrup H; Valderrama M; Costa RP; Alvarado-Rojas C; Nikolopoulos S; Le Van Quyen M; Timmer J; Schelter B; Dourado A
J Neurosci Methods; 2011 Sep; 200(2):257-71. PubMed ID: 21763347
[TBL] [Abstract][Full Text] [Related]
12. A novel fast epileptic seizure onset detection algorithm using general tensor discriminant analysis.
Nasehi S; Pourghassem H
J Clin Neurophysiol; 2013 Aug; 30(4):362-70. PubMed ID: 23912574
[TBL] [Abstract][Full Text] [Related]
13. Statistics over features: EEG signals analysis.
Derya Ubeyli E
Comput Biol Med; 2009 Aug; 39(8):733-41. PubMed ID: 19555931
[TBL] [Abstract][Full Text] [Related]
14. Correlation dimension and integral do not predict epileptic seizures.
Harrison MA; Osorio I; Frei MG; Asuri S; Lai YC
Chaos; 2005 Sep; 15(3):33106. PubMed ID: 16252980
[TBL] [Abstract][Full Text] [Related]
15. Spatio-temporal patient-individual assessment of synchronization changes for epileptic seizure prediction.
Winterhalder M; Schelter B; Maiwald T; Brandt A; Schad A; Schulze-Bonhage A; Timmer J
Clin Neurophysiol; 2006 Nov; 117(11):2399-413. PubMed ID: 17005446
[TBL] [Abstract][Full Text] [Related]
16. Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans.
Fabrizi L; Sparkes M; Horesh L; Perez-Juste Abascal JF; McEwan A; Bayford RH; Elwes R; Binnie CD; Holder DS
Physiol Meas; 2006 May; 27(5):S163-74. PubMed ID: 16636408
[TBL] [Abstract][Full Text] [Related]
17. Application of wavelet-based similarity analysis to epileptic seizures prediction.
Ouyang G; Li X; Li Y; Guan X
Comput Biol Med; 2007 Apr; 37(4):430-7. PubMed ID: 16978597
[TBL] [Abstract][Full Text] [Related]
18. How well can epileptic seizures be predicted? An evaluation of a nonlinear method.
Aschenbrenner-Scheibe R; Maiwald T; Winterhalder M; Voss HU; Timmer J; Schulze-Bonhage A
Brain; 2003 Dec; 126(Pt 12):2616-26. PubMed ID: 14506067
[TBL] [Abstract][Full Text] [Related]
19. Accumulated energy revisited.
Harrison MA; Frei MG; Osorio I
Clin Neurophysiol; 2005 Mar; 116(3):527-31. PubMed ID: 15721066
[TBL] [Abstract][Full Text] [Related]
20. A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals.
Faes L; Chon KH; Nollo G
IEEE Trans Biomed Eng; 2009 Feb; 56(2):205-9. PubMed ID: 19272876
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]