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Journal Abstract Search

611 related items for PubMed ID: 24459944

  • 1. [The recognition methodology study of epileptic EEGs based on support vector machine].
    Huang R, Du S, Chen Z, Zhangzhen, Zhouyi.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):919-24. PubMed ID: 24459944
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  • 2. Epileptic EEG classification based on extreme learning machine and nonlinear features.
    Yuan Q, Zhou W, Li S, Cai D.
    Epilepsy Res; 2011 Sep; 96(1-2):29-38. PubMed ID: 21616643
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  • 7. 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
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  • 9. 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
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  • 14. Automatic detection of epileptic EEG signals using higher order cumulant features.
    Acharya UR, Sree SV, Suri JS.
    Int J Neural Syst; 2011 Oct; 21(5):403-14. PubMed ID: 21956932
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  • 15. Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm.
    Al-Salman W, Li Y, Wen P, Miften FS, Oudah AY, Ghayab HRA.
    Brain Res; 2022 Mar 15; 1779():147777. PubMed ID: 34999060
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  • 16. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks.
    Guo L, Rivero D, Dorado J, Rabuñal JR, Pazos A.
    J Neurosci Methods; 2010 Aug 15; 191(1):101-9. PubMed ID: 20595035
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  • 17. EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method.
    Ghaffari A, Ebrahimi Orimi H.
    J Med Eng Technol; 2014 Apr 15; 38(3):146-55. PubMed ID: 24579561
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  • 18. Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection.
    Ghosh-Dastidar S, Adeli H, Dadmehr N.
    IEEE Trans Biomed Eng; 2007 Sep 15; 54(9):1545-51. PubMed ID: 17867346
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  • 19. [Epileptic EEG signal classification based on wavelet packet transform and multivariate multiscale entropy].
    Xu Y, Li X, Zhao Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct 15; 30(5):1073-8, 1090. PubMed ID: 24459973
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  • 20. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
    Siuly S, Li Y.
    Comput Methods Programs Biomed; 2015 Apr 15; 119(1):29-42. PubMed ID: 25704869
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