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Journal Abstract Search


394 related items for PubMed ID: 17278578

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns.
    Meier R, Dittrich H, Schulze-Bonhage A, Aertsen A.
    J Clin Neurophysiol; 2008 Jun; 25(3):119-31. PubMed ID: 18469727
    [Abstract] [Full Text] [Related]

  • 4. Pattern extraction in interictal EEG recordings towards detection of electrodes leading to seizures.
    Mercedes C, Adjouadi M, Ayala M, Tito M.
    Biomed Sci Instrum; 2006 Jun; 42():243-8. PubMed ID: 16817615
    [Abstract] [Full Text] [Related]

  • 5. Electrocardiogram based neonatal seizure detection.
    Greene BR, de Chazal P, Boylan GB, Connolly S, Reilly RB.
    IEEE Trans Biomed Eng; 2007 Apr; 54(4):673-82. PubMed ID: 17405374
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. Real-time epileptic seizure prediction using AR models and support vector machines.
    Chisci L, Mavino A, Perferi G, Sciandrone M, Anile C, Colicchio G, Fuggetta F.
    IEEE Trans Biomed Eng; 2010 May; 57(5):1124-32. PubMed ID: 20172805
    [Abstract] [Full Text] [Related]

  • 8. Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection.
    Polychronaki GE, Ktonas PY, Gatzonis S, Siatouni A, Asvestas PA, Tsekou H, Sakas D, Nikita KS.
    J Neural Eng; 2010 Aug; 7(4):046007. PubMed ID: 20571184
    [Abstract] [Full Text] [Related]

  • 9. 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]

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

  • 11. 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]

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

  • 13. Interictal spike detection using the Walsh transform.
    Adjouadi M, Sanchez D, Cabrerizo M, Ayala M, Jayakar P, Yaylali I, Barreto A.
    IEEE Trans Biomed Eng; 2004 May; 51(5):868-72. PubMed ID: 15132516
    [Abstract] [Full Text] [Related]

  • 14. 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; 26(5):379-93. PubMed ID: 15147746
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. Analog seizure detection and performance evaluation.
    Bhavaraju NC, Frei MG, Osorio I.
    IEEE Trans Biomed Eng; 2006 Feb; 53(2):238-45. PubMed ID: 16485752
    [Abstract] [Full Text] [Related]

  • 17. A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy.
    Adeli H, Ghosh-Dastidar S, Dadmehr N.
    IEEE Trans Biomed Eng; 2007 Feb; 54(2):205-11. PubMed ID: 17278577
    [Abstract] [Full Text] [Related]

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

  • 19. A hierarchical approach for online temporal lobe seizure detection in long-term intracranial EEG recordings.
    Liang SF, Chen YC, Wang YL, Chen PT, Yang CH, Chiueh H.
    J Neural Eng; 2013 Aug; 10(4):045004. PubMed ID: 23723141
    [Abstract] [Full Text] [Related]

  • 20. Support vector machines for seizure detection in an animal model of chronic epilepsy.
    Nandan M, Talathi SS, Myers S, Ditto WL, Khargonekar PP, Carney PR.
    J Neural Eng; 2010 Jun; 7(3):036001. PubMed ID: 20404397
    [Abstract] [Full Text] [Related]


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