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Journal Abstract Search

827 related items for PubMed ID: 18406490

  • 21. 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]

  • 22. Approximate entropy-based epileptic EEG detection using artificial neural networks.
    Srinivasan V, Eswaran C, Sriraam N.
    IEEE Trans Inf Technol Biomed; 2007 May; 11(3):288-95. PubMed ID: 17521078
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  • 23. The comparison of different feed forward neural network architectures for ECG signal diagnosis.
    Hosseini HG, Luo D, Reynolds KJ.
    Med Eng Phys; 2006 May; 28(4):372-8. PubMed ID: 16118058
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  • 24. Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform.
    Zandi AS, Javidan M, Dumont GA, Tafreshi R.
    IEEE Trans Biomed Eng; 2010 Jul; 57(7):1639-51. PubMed ID: 20659825
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  • 25. 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
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  • 26. 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
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  • 27. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
    Huan NJ, Palaniappan R.
    J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
    [Abstract] [Full Text] [Related]

  • 28. Automated EEG preprocessing during anaesthesia: new aspects using artificial neural networks.
    Jeleazcov C, Egner S, Bremer F, Schwilden H.
    Biomed Tech (Berl); 2004 May; 49(5):125-31. PubMed ID: 15212197
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  • 30. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG).
    Lehmann C, Koenig T, Jelic V, Prichep L, John RE, Wahlund LO, Dodge Y, Dierks T.
    J Neurosci Methods; 2007 Apr 15; 161(2):342-50. PubMed ID: 17156848
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  • 33. 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 Apr 15; 42():243-8. PubMed ID: 16817615
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  • 34. Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines.
    Derya Ubeyli E.
    Comput Biol Med; 2008 Jan 15; 38(1):14-22. PubMed ID: 17651716
    [Abstract] [Full Text] [Related]

  • 35. Detecting movement-related EEG change by wavelet decomposition-based neural networks trained with single thumb movement.
    Chen CW, Lin CC, Ju MS.
    Clin Neurophysiol; 2007 Apr 15; 118(4):802-14. PubMed ID: 17317306
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  • 36. 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 15; 3(1):9-20. PubMed ID: 16510938
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  • 37. High-Performance Seizure Detection System Using a Wavelet-Approximate Entropy-fSVM Cascade With Clinical Validation.
    Shen CP, Chen CC, Hsieh SL, Chen WH, Chen JM, Chen CM, Lai F, Chiu MJ.
    Clin EEG Neurosci; 2013 Oct 15; 44(4):247-56. PubMed ID: 23610456
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  • 39. 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 15; 7(3):036001. PubMed ID: 20404397
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  • 40. A hybrid neural network system for pattern classification tasks with missing features.
    Lim CP, Leong JH, Kuan MM.
    IEEE Trans Pattern Anal Mach Intell; 2005 Apr 15; 27(4):648-53. PubMed ID: 15794170
    [Abstract] [Full Text] [Related]

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