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219 related items for PubMed ID: 15133955

  • 1. An optimization approach to recognition of epileptogenic data using neural networks with simplified input layers.
    Ayala M, Adjouadi M, Yaylali I, Jayakar P.
    Biomed Sci Instrum; 2004; 40():181-6. PubMed ID: 15133955
    [Abstract] [Full Text] [Related]

  • 2. A new mathematical approach based on orthogonal operators for the detection of interictal spikes in epileptogenic data.
    Adjouadi M, Cabrerizo M, Ayala M, Sanchez D, Yaylali I, Jayakar P, Barreto A.
    Biomed Sci Instrum; 2004; 40():175-80. PubMed ID: 15133954
    [Abstract] [Full Text] [Related]

  • 3. Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
    Acir N, Oztura I, Kuntalp M, Baklan B, Güzeliş C.
    IEEE Trans Biomed Eng; 2005 Jan; 52(1):30-40. PubMed ID: 15651562
    [Abstract] [Full Text] [Related]

  • 4. Epileptic EEG detection using neural networks and post-classification.
    Patnaik LM, Manyam OK.
    Comput Methods Programs Biomed; 2008 Aug; 91(2):100-9. PubMed ID: 18406490
    [Abstract] [Full Text] [Related]

  • 5. Detection of pseudosinusoidal epileptic seizure segments in the neonatal EEG by cascading a rule-based algorithm with a neural network.
    Karayiannis NB, Mukherjee A, Glover JR, Ktonas PY, Frost JD, Hrachovy RA, Mizrahi EM.
    IEEE Trans Biomed Eng; 2006 Apr; 53(4):633-41. PubMed ID: 16602569
    [Abstract] [Full Text] [Related]

  • 6. Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing.
    Subasi A, Alkan A, Koklukaya E, Kiymik MK.
    Neural Netw; 2005 Sep; 18(7):985-97. PubMed ID: 15921885
    [Abstract] [Full Text] [Related]

  • 7. Entropies for detection of epilepsy in EEG.
    Kannathal N, Choo ML, Acharya UR, Sadasivan PK.
    Comput Methods Programs Biomed; 2005 Dec; 80(3):187-94. PubMed ID: 16219385
    [Abstract] [Full Text] [Related]

  • 8. Classification of EEG signals using neural network and logistic regression.
    Subasi A, Erçelebi E.
    Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
    [Abstract] [Full Text] [Related]

  • 9. A comparison of algorithms for detection of spikes in the electroencephalogram.
    Pang CC, Upton AR, Shine G, Kamath MV.
    IEEE Trans Biomed Eng; 2003 Apr; 50(4):521-6. PubMed ID: 12723065
    [Abstract] [Full Text] [Related]

  • 10. Automatic seizure detection in EEG using logistic regression and artificial neural network.
    Alkan A, Koklukaya E, Subasi A.
    J Neurosci Methods; 2005 Oct 30; 148(2):167-76. PubMed ID: 16023730
    [Abstract] [Full Text] [Related]

  • 11. Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines.
    Derya Ubeyli E.
    Comput Biol Med; 2008 Jan 30; 38(1):14-22. PubMed ID: 17651716
    [Abstract] [Full Text] [Related]

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  • 13. Detection of spectral instability in EEG recordings during the preictal period.
    Aksenova TI, Volkovych VV, Villa AE.
    J Neural Eng; 2007 Sep 30; 4(3):173-8. PubMed ID: 17873418
    [Abstract] [Full Text] [Related]

  • 14. Statistics over features: EEG signals analysis.
    Derya Ubeyli E.
    Comput Biol Med; 2009 Aug 30; 39(8):733-41. PubMed ID: 19555931
    [Abstract] [Full Text] [Related]

  • 15. A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets.
    de Munck JC, Bijma F, Gaura P, Sieluzycki CA, Branco MI, Heethaar RM.
    IEEE Trans Biomed Eng; 2004 Dec 30; 51(12):2123-8. PubMed ID: 15605859
    [Abstract] [Full Text] [Related]

  • 16. A multistage knowledge-based system for EEG seizure detection in newborn infants.
    Aarabi A, Grebe R, Wallois F.
    Clin Neurophysiol; 2007 Dec 30; 118(12):2781-97. PubMed ID: 17905654
    [Abstract] [Full Text] [Related]

  • 17. Epileptic seizure detection using genetically programmed artificial features.
    Firpi H, Goodman ED, Echauz J.
    IEEE Trans Biomed Eng; 2007 Feb 30; 54(2):212-24. PubMed ID: 17278578
    [Abstract] [Full Text] [Related]

  • 18. Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques.
    Iasemidis LD, Shiau DS, Sackellares JC, Pardalos PM, Prasad A.
    IEEE Trans Biomed Eng; 2004 Mar 30; 51(3):493-506. PubMed ID: 15000380
    [Abstract] [Full Text] [Related]

  • 19. The effects of high-frequency oscillations in hippocampal electrical activities on the classification of epileptiform events using artificial neural networks.
    Chiu AW, Jahromi SS, Khosravani H, Carlen PL, Bardakjian BL.
    J Neural Eng; 2006 Mar 30; 3(1):9-20. PubMed ID: 16510938
    [Abstract] [Full Text] [Related]

  • 20. Automated EEG preprocessing during anaesthesia: new aspects using artificial neural networks.
    Jeleazcov C, Egner S, Bremer F, Schwilden H.
    Biomed Tech (Berl); 2004 May 30; 49(5):125-31. PubMed ID: 15212197
    [Abstract] [Full Text] [Related]

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