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Journal Abstract Search

191 related items for PubMed ID: 19576849

  • 1. Seizure prediction: any better than chance?
    Andrzejak RG, Chicharro D, Elger CE, Mormann F.
    Clin Neurophysiol; 2009 Aug; 120(8):1465-78. PubMed ID: 19576849
    [Abstract] [Full Text] [Related]

  • 2. Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons.
    Kuhlmann L, Freestone D, Lai A, Burkitt AN, Fuller K, Grayden DB, Seiderer L, Vogrin S, Mareels IM, Cook MJ.
    Epilepsy Res; 2010 Oct; 91(2-3):214-31. PubMed ID: 20724110
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. Comparison of predictability of epileptic seizures by a linear and a nonlinear method.
    McSharry PE, Smith LA, Tarassenko L.
    IEEE Trans Biomed Eng; 2003 May; 50(5):628-33. PubMed ID: 12769438
    [Abstract] [Full Text] [Related]

  • 6. Seizure prediction with spectral power of EEG using cost-sensitive support vector machines.
    Park Y, Luo L, Parhi KK, Netoff T.
    Epilepsia; 2011 Oct; 52(10):1761-70. PubMed ID: 21692794
    [Abstract] [Full Text] [Related]

  • 7. 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
    [Abstract] [Full Text] [Related]

  • 8. 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
    [Abstract] [Full Text] [Related]

  • 9. Accumulated energy revisited.
    Harrison MA, Frei MG, Osorio I.
    Clin Neurophysiol; 2005 Mar; 116(3):527-31. PubMed ID: 15721066
    [Abstract] [Full Text] [Related]

  • 10. 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
    [Abstract] [Full Text] [Related]

  • 11. Joining the benefits: combining epileptic seizure prediction methods.
    Feldwisch-Drentrup H, Schelter B, Jachan M, Nawrath J, Timmer J, Schulze-Bonhage A.
    Epilepsia; 2010 Aug; 51(8):1598-606. PubMed ID: 20067499
    [Abstract] [Full Text] [Related]

  • 12. Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction.
    Schelter B, Winterhalder M, Maiwald T, Brandt A, Schad A, Schulze-Bonhage A, Timmer J.
    Chaos; 2006 Mar; 16(1):013108. PubMed ID: 16599739
    [Abstract] [Full Text] [Related]

  • 13. Real-time seizure prediction from local field potentials using an adaptive Wiener algorithm.
    Rajdev P, Ward MP, Rickus J, Worth R, Irazoqui PP.
    Comput Biol Med; 2010 Jan; 40(1):97-108. PubMed ID: 20022319
    [Abstract] [Full Text] [Related]

  • 14. Multivariate linear discrimination of seizures.
    Jerger KK, Weinstein SL, Sauer T, Schiff SJ.
    Clin Neurophysiol; 2005 Mar; 116(3):545-51. PubMed ID: 15721068
    [Abstract] [Full Text] [Related]

  • 15. Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings.
    Schad A, Schindler K, Schelter B, Maiwald T, Brandt A, Timmer J, Schulze-Bonhage A.
    Clin Neurophysiol; 2008 Jan; 119(1):197-211. PubMed ID: 18037341
    [Abstract] [Full Text] [Related]

  • 16. Controlled test for predictive power of Lyapunov exponents: their inability to predict epileptic seizures.
    Lai YC, Harrison MA, Frei MG, Osorio I.
    Chaos; 2004 Sep; 14(3):630-42. PubMed ID: 15446973
    [Abstract] [Full Text] [Related]

  • 17. Epileptic seizures are temporally interdependent under certain conditions.
    Sunderam S, Osorio I, Frei MG.
    Epilepsy Res; 2007 Sep; 76(2-3):77-84. PubMed ID: 17706401
    [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
    [Abstract] [Full Text] [Related]

  • 19. 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
    [Abstract] [Full Text] [Related]

  • 20. Measure profile surrogates: a method to validate the performance of epileptic seizure prediction algorithms.
    Kreuz T, Andrzejak RG, Mormann F, Kraskov A, Stögbauer H, Elger CE, Lehnertz K, Grassberger P.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Jun; 69(6 Pt 1):061915. PubMed ID: 15244625
    [Abstract] [Full Text] [Related]

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