These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

128 related items for PubMed ID: 11776223

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. Epileptic seizure classification of EEG time-series using rational discrete short-time fourier transform.
    Samiee K, Kovács P, Gabbouj M.
    IEEE Trans Biomed Eng; 2015 Feb; 62(2):541-52. PubMed ID: 25265603
    [Abstract] [Full Text] [Related]

  • 4. Artificial neural network based epileptic detection using time-domain and frequency-domain features.
    Srinivasan V, Eswaran C, Sriraam N.
    J Med Syst; 2005 Dec; 29(6):647-60. PubMed ID: 16235818
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7. Detection of seizure and epilepsy using higher order statistics in the EMD domain.
    Alam SM, Bhuiyan MI.
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):312-8. PubMed ID: 24235109
    [Abstract] [Full Text] [Related]

  • 8. Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.
    Acharya UR, Sree SV, Alvin AP, Yanti R, Suri JS.
    Int J Neural Syst; 2012 Apr; 22(2):1250002. PubMed ID: 23627588
    [Abstract] [Full Text] [Related]

  • 9. Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.
    San-Segundo R, Gil-Martín M, D'Haro-Enríquez LF, Pardo JM.
    Comput Biol Med; 2019 Jun; 109():148-158. PubMed ID: 31055181
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11. An efficient detection of epileptic seizure by differentiation and spectral analysis of electroencephalograms.
    Kang JH, Chung YG, Kim SP.
    Comput Biol Med; 2015 Nov 01; 66():352-6. PubMed ID: 25982199
    [Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. [Progress in automatic detection of epilepsy based on EEG analysis].
    Zheng X, Qiu T.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Jun 01; 22(3):606-9. PubMed ID: 16013270
    [Abstract] [Full Text] [Related]

  • 18. 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 01; 25(3):119-31. PubMed ID: 18469727
    [Abstract] [Full Text] [Related]

  • 19. EEG mapping--a new way of monitoring in epilepsy.
    Logar C, Walzl B, Lechner H.
    Eur Neurol; 1994 Jun 01; 34 Suppl 1():24-8. PubMed ID: 8001605
    [Abstract] [Full Text] [Related]

  • 20. Observations on the application of the correlation dimension and correlation integral to the prediction of seizures.
    Osorio I, Harrison MA, Lai YC, Frei MG.
    J Clin Neurophysiol; 2001 May 01; 18(3):269-74. PubMed ID: 11528298
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 7.