BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

320 related articles for article (PubMed ID: 19963776)

  • 1. 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]  

  • 2. 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]  

  • 3. Efficient epileptic seizure detection by a combined IMF-VoE feature.
    Qi Y; Wang Y; Zheng X; Zhang J; Zhu J; Guo J
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5170-3. PubMed ID: 23367093
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An energy-based detection algorithm of epileptic seizures in EEG records.
    Correa AG; Laciar E; Orosco L; Gómez ME; Otoya R; Jané R
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():1384-7. PubMed ID: 19964519
    [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. 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]  

  • 7. 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]  

  • 8. 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; 25(3):119-31. PubMed ID: 18469727
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition.
    Zahra A; Kanwal N; Ur Rehman N; Ehsan S; McDonald-Maier KD
    Comput Biol Med; 2017 Sep; 88():132-141. PubMed ID: 28719805
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Epileptic seizure detection in EEG recordings using phase congruency.
    Wongsawat Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():927-30. PubMed ID: 19162809
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Grasshopper optimization algorithm-based approach for the optimization of ensemble classifier and feature selection to classify epileptic EEG signals.
    Singh G; Singh B; Kaur M
    Med Biol Eng Comput; 2019 Jun; 57(6):1323-1339. PubMed ID: 30756231
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Application of multivariate empirical mode decomposition for seizure detection in EEG signals.
    Ur Rehman N; Xia Y; Mandic DP
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1650-3. PubMed ID: 21096140
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [An EMD based epileptic spike detection method].
    Zhu Y; Chu M; Qiu T; Bao H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Apr; 25(2):275-9. PubMed ID: 18610605
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [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]  

  • 17. 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]  

  • 18. Sparse representation-based EMD and BLDA for automatic seizure detection.
    Yuan S; Zhou W; Li J; Wu Q
    Med Biol Eng Comput; 2017 Aug; 55(8):1227-1238. PubMed ID: 27766519
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A novel genetic programming approach for epileptic seizure detection.
    Bhardwaj A; Tiwari A; Krishna R; Varma V
    Comput Methods Programs Biomed; 2016 Feb; 124():2-18. PubMed ID: 26645791
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.