BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

255 related articles for article (PubMed ID: 21529981)

  • 1. Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition.
    Pachori RB; Bajaj V
    Comput Methods Programs Biomed; 2011 Dec; 104(3):373-81. PubMed ID: 21529981
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions.
    Pachori RB; Patidar S
    Comput Methods Programs Biomed; 2014 Feb; 113(2):494-502. PubMed ID: 24377902
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of seizure and non-seizure EEG signals using empirical mode decomposition.
    Bajaj V; Pachori RB
    IEEE Trans Inf Technol Biomed; 2012 Nov; 16(6):1135-42. PubMed ID: 22203720
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [An EMD based time-frequency distribution and its application in EEG analysis].
    Li X; Chu M; Qiu T; Bao H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Oct; 24(5):990-5. PubMed ID: 18027682
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Epileptic seizure classifications using empirical mode decomposition and its derivative.
    Karabiber Cura O; Kocaaslan Atli S; Türe HS; Akan A
    Biomed Eng Online; 2020 Feb; 19(1):10. PubMed ID: 32059668
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic identification of epileptic seizures using volume of phase space representation.
    Krishnaprasanna R; Vijaya Baskar V; Panneerselvam J
    Phys Eng Sci Med; 2021 Jun; 44(2):545-556. PubMed ID: 33956327
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assignment of Empirical Mode Decomposition Components and Its Application to Biomedical Signals.
    Schiecke K; Schmidt C; Piper D; Putsche P; Feucht M; Witte H; Leistritz L
    Methods Inf Med; 2015; 54(5):461-73. PubMed ID: 26419400
    [TBL] [Abstract][Full Text] [Related]  

  • 8. EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning.
    Riaz F; Hassan A; Rehman S; Niazi IK; Dremstrup K
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):28-35. PubMed ID: 26068546
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of statistical coefficients and autoregressive parameters over intrinsic mode functions (IMFs) for epileptic seizure detection.
    Djemili R
    Biomed Tech (Berl); 2020 Jul; ():. PubMed ID: 32614781
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Feature extraction and recognition of ictal EEG using EMD and SVM.
    Li S; Zhou W; Yuan Q; Geng S; Cai D
    Comput Biol Med; 2013 Aug; 43(7):807-16. PubMed ID: 23746721
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals.
    Martis RJ; Acharya UR; Tan JH; Petznick A; Yanti R; Chua CK; Ng EY; Tong L
    Int J Neural Syst; 2012 Dec; 22(6):1250027. PubMed ID: 23186276
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [EEG signal classification based on EMD and SVM].
    Li S; Zhou W; Cai D; Liu K; Zhao J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Oct; 28(5):891-4. PubMed ID: 22097250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 191(1):101-9. PubMed ID: 20595035
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Spike extraction of epileptic waves in EEG based on EMD].
    Chen Z; Chen J; Qiu T
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Oct; 24(5):973-7. PubMed ID: 18027678
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiparametric detection of epileptic seizures using Empirical Mode Decomposition of EEG records.
    Orosco L; Garces Correa A; Laciar E
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():951-4. PubMed ID: 21096781
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An epileptic seizures detection algorithm based on the empirical mode decomposition of EEG.
    Orosco L; Laciar E; Correa AG; Torres A; Graffigna JP
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2651-4. PubMed ID: 19963776
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of signs of brain dysfunction in epileptic children by recognition of transient changes in the correlation of seizure-free EEG.
    Righi M; Barcaro U; Starita A; Karakonstantaki E; Micheloyannis S
    Brain Topogr; 2008 Sep; 21(1):43-51. PubMed ID: 18566884
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Research of movement imagery EEG based on Hilbert-Huang transform and BP neural network].
    Jin H; Zhang Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Apr; 30(2):249-53. PubMed ID: 23858742
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison analysis of embedding dimensions between normal and epileptic EEG time series.
    Yuan Y; Li Y; Mandic DP
    J Physiol Sci; 2008 Aug; 58(4):239-47. PubMed ID: 18582394
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.