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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

245 related articles for article (PubMed ID: 23245676)

  • 1. Dynamic characteristics of absence EEG recordings with multiscale permutation entropy analysis.
    Ouyang G; Li J; Liu X; Li X
    Epilepsy Res; 2013 May; 104(3):246-52. PubMed ID: 23245676
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictability analysis of absence seizures with permutation entropy.
    Li X; Ouyang G; Richards DA
    Epilepsy Res; 2007 Oct; 77(1):70-4. PubMed ID: 17870413
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Multi-scale Permutation Entropy and Its Applications in the Identification of Seizures].
    Xi M; Zhu G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Aug; 32(4):751-6. PubMed ID: 26710444
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ordinal pattern based similarity analysis for EEG recordings.
    Ouyang G; Dang C; Richards DA; Li X
    Clin Neurophysiol; 2010 May; 121(5):694-703. PubMed ID: 20097130
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases.
    Li J; Liu X; Ouyang G
    Clin EEG Neurosci; 2016 Jul; 47(3):211-9. PubMed ID: 25245133
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of absence seizure generation using EEG spatial-temporal regularity measures.
    Mammone N; Labate D; Lay-Ekuakille A; Morabito FC
    Int J Neural Syst; 2012 Dec; 22(6):1250024. PubMed ID: 23186273
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiscale permutation entropy analysis of EEG recordings during sevoflurane anesthesia.
    Li D; Li X; Liang Z; Voss LJ; Sleigh JW
    J Neural Eng; 2010 Aug; 7(4):046010. PubMed ID: 20581428
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiscale permutation Rényi entropy and its application for EEG signals.
    Yin Y; Sun K; He S
    PLoS One; 2018; 13(9):e0202558. PubMed ID: 30180194
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Complexity of Multi-Channel Electroencephalogram Signal Analysis in Childhood Absence Epilepsy.
    Weng WC; Jiang GJ; Chang CF; Lu WY; Lin CY; Lee WT; Shieh JS
    PLoS One; 2015; 10(8):e0134083. PubMed ID: 26244497
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The detection of epileptic seizure signals based on fuzzy entropy.
    Xiang J; Li C; Li H; Cao R; Wang B; Han X; Chen J
    J Neurosci Methods; 2015 Mar; 243():18-25. PubMed ID: 25614384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Comparison of Multiscale Permutation Entropy Measures in On-Line Depth of Anesthesia Monitoring.
    Su C; Liang Z; Li X; Li D; Li Y; Ursino M
    PLoS One; 2016; 11(10):e0164104. PubMed ID: 27723803
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states.
    Hussain L; Aziz W; Alowibdi JS; Habib N; Rafique M; Saeed S; Kazmi SZ
    J Physiol Anthropol; 2017 Mar; 36(1):21. PubMed ID: 28335804
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Log energy entropy-based EEG classification with multilayer neural networks in seizure.
    Aydin S; Saraoğlu HM; Kara S
    Ann Biomed Eng; 2009 Dec; 37(12):2626-30. PubMed ID: 19757057
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine.
    Song Y; Crowcroft J; Zhang J
    J Neurosci Methods; 2012 Sep; 210(2):132-46. PubMed ID: 22824535
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Nonlinear analysis on the EEG information of rat epileptic model].
    Xu M; Long K; Jian Z; Dong X; Yang J; Han S; Jiang W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Sep; 20(3):511-4. PubMed ID: 14565027
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Entropy changes in brain function.
    Rosso OA
    Int J Psychophysiol; 2007 Apr; 64(1):75-80. PubMed ID: 17234291
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients. A preliminary study.
    Bruzzo AA; Gesierich B; Santi M; Tassinari CA; Birbaumer N; Rubboli G
    Neurol Sci; 2008 Feb; 29(1):3-9. PubMed ID: 18379733
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.
    Song Y; Zhang J
    J Neurosci Methods; 2016 Jan; 257():45-54. PubMed ID: 26335801
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classifying epileptic EEG signals with delay permutation entropy and Multi-Scale K-means.
    Zhu G; Li Y; Wen PP; Wang S
    Adv Exp Med Biol; 2015; 823():143-57. PubMed ID: 25381106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using recurrence plot for determinism analysis of EEG recordings in genetic absence epilepsy rats.
    Ouyang G; Li X; Dang C; Richards DA
    Clin Neurophysiol; 2008 Aug; 119(8):1747-1755. PubMed ID: 18486542
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.