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Journal Abstract Search

154 related items for PubMed ID: 20022319

  • 1. 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]

  • 2. The design and hardware implementation of a low-power real-time seizure detection algorithm.
    Raghunathan S, Gupta SK, Ward MP, Worth RM, Roy K, Irazoqui PP.
    J Neural Eng; 2009 Oct; 6(5):056005. PubMed ID: 19717893
    [Abstract] [Full Text] [Related]

  • 3. Adaptive epileptic seizure prediction system.
    Iasemidis LD, Shiau DS, Chaovalitwongse W, Sackellares JC, Pardalos PM, Principe JC, Carney PR, Prasad A, Veeramani B, Tsakalis K.
    IEEE Trans Biomed Eng; 2003 May; 50(5):616-27. PubMed ID: 12769437
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  • 4. Performance of a seizure warning algorithm based on the dynamics of intracranial EEG.
    Chaovalitwongse W, Iasemidis LD, Pardalos PM, Carney PR, Shiau DS, Sackellares JC.
    Epilepsy Res; 2005 May; 64(3):93-113. PubMed ID: 15961284
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  • 5. 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
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  • 6. Nonlinear dynamics of seizure prediction in a rodent model of epilepsy.
    Good LB, Sabesan S, Marsh ST, Tsakalis K, Treiman DM, Iasemidis LD.
    Nonlinear Dynamics Psychol Life Sci; 2010 Oct; 14(4):411-34. PubMed ID: 20887688
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
    Tito M, Cabrerizo M, Ayala M, Jayakar P, Adjouadi M.
    J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
    [Abstract] [Full Text] [Related]

  • 9. A hardware-algorithm co-design approach to optimize seizure detection algorithms for implantable applications.
    Raghunathan S, Gupta SK, Markandeya HS, Roy K, Irazoqui PP.
    J Neurosci Methods; 2010 Oct 30; 193(1):106-17. PubMed ID: 20713084
    [Abstract] [Full Text] [Related]

  • 10. Gaussian mixture models of ECoG signal features for improved detection of epileptic seizures.
    Meng L, Frei MG, Osorio I, Strang G, Nguyen TQ.
    Med Eng Phys; 2004 Jun 30; 26(5):379-93. PubMed ID: 15147746
    [Abstract] [Full Text] [Related]

  • 11. Multistage seizure detection techniques optimized for low-power hardware platforms.
    Raghunathan S, Jaitli A, Irazoqui PP.
    Epilepsy Behav; 2011 Dec 30; 22 Suppl 1():S61-8. PubMed ID: 22078520
    [Abstract] [Full Text] [Related]

  • 12. 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 30; 116(3):569-87. PubMed ID: 15721071
    [Abstract] [Full Text] [Related]

  • 13. 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 30; 50(5):628-33. PubMed ID: 12769438
    [Abstract] [Full Text] [Related]

  • 14. Seizure prediction with spectral power of EEG using cost-sensitive support vector machines.
    Park Y, Luo L, Parhi KK, Netoff T.
    Epilepsia; 2011 Oct 30; 52(10):1761-70. PubMed ID: 21692794
    [Abstract] [Full Text] [Related]

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  • 18. 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 30; 47(12):2058-70. PubMed ID: 17201704
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