Open Access
Issue
EPJ Nonlinear Biomed Phys
Volume 2, Number 1, December 2014
Article Number 14
Number of page(s) 13
DOI https://doi.org/10.1140/epjnbp/s40366-014-0014-9
Published online 22 November 2014
  1. Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen N-C, Tung CC, Liu HH: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Roy Soc Lond Math Phys Sci1971, 454:903–995. [Google Scholar]
  2. Blakely CD: A fast Empirical Mode Decomposition technique for nonstationary nonliear time series. In Center for Scientific Computation and Mathematical Modeling. College Park, USA: University of Maryland. Preprint CSCAMM-05-10; 2005. Online: [http://www.cscamm.umd.edu/publications/fastEMDcBlakelyFinal_CS-05-10.pdf] [Google Scholar]
  3. Chen Q, Huang N, Riemenschneider S, Xu Y: A B-spline approach for empirical mode decompositions. Adv Comput Math2006, 24:171–195. [Google Scholar]
  4. Meignen S, Perrier V: A new formulation for empirical mode decomposition based on constrained optimization. IEEE Signal Process Lett2007, 14(12):932–935. [Google Scholar]
  5. Roy A, Doherty JF: Raised cosine interpolation for empirical mode decomposition. In Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on. Baltimore: IEEE; 2009. [Google Scholar]
  6. Roy A, Doherty JF: Improved signal analysis performance at low sampling rates using raised cosine empirical mode decomposition. Electron Lett2010, 46(2):176–177. [Google Scholar]
  7. Roy A, Doherty JF: Raised cosine filter-based empirical mode decomposition. IET Signal Process2011, 5(2):121–129. [Google Scholar]
  8. Stepien P: Application of empirical mode decomposition method in biomedical signal analysis (in polish). PhD thesis. Warsaw University of Technology; 2011. Supervisor: W. Klonowski. [Google Scholar]
  9. Rilling G, Flandrin P, Gonçalvès P: On empirical mode decomposition and its algorithms. In IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03. Grado, Italy; 2003. Online: [http://perso.ens-lyon.fr/paulo.goncalves/pub/NSIP03_GRPFPG.pdf] [Google Scholar]
  10. Pierzchalski MP, Stepien RA, Stepien P: New nonlinear methods of heart rate variability analysis in diagnostics of atrial fibrillation. Int J Biol Biomed Eng2011, 5(4):201–208. [Google Scholar]
  11. Huang NE, Wu MLC, Long SR, Shen SSP, Qu W, Gloersen P, Fan KL: A confidence limit for the empirical mode decomposition and Hilbert spectral analysis. Proc R Soc Lond Math Phys Sci2003, 459(2037):2317. [Google Scholar]