References
- P Strobach, “Single section least square adaptive notch filter”, IEEI Trans. Signal Process, Vol. 43 No. 8, pp. 2007–10, 1995.
- J M Leski, and N Henzel, “ECG baseline wander and power lini interference reduction using nonlinear filter bank”, Signal Process, Vol 35, No. 4. pp. 781–93, 2004.
- S K Yoo, N H Kim, J S Song, T H Lee, and K M Kim, “Simple self tunee notch filter in a bio-potential amplifier,” Med Biol Eng Comput, Vol. 35 pp. 151–4, 1997.
- M Ferdjallah, and R E Barr, “Adaptive Digital Notch Filter Design or the Unit Circle for the Removal of power line Noise from Biomedical Signals”, IEEE Trans. on Biomedical Engineering, Vol. 41, no. 6, pp. 529–36, 1994.
- A K Barros, A Mansour, and N Ohnishi, “Removing artifacts from electrocardiographic signals using independent components analysis”, Neurocomputing, Vol. 22. pp. 173–86, 1998.
- J C Echevarrí J A Crowe, M S Woolfson, and B R Hayes-Gill, “Application of empirical mode decomposition to heart rate variability analysis”, Med. Biol. Eng. Comput, Vol. 39, No. 4. pp. 471–9, 2001.
- S Haykin, Adaptive Filter Theory, Englewood Cliffs, 3rd Ed, New Jersey: Prentice Hall; 2003.
- S Poornachandra, and N Kumaravel, “A novel method for the elimination of power line frequency in ECG signal using hyper shrinkage function”, J. Digital Signal Processing, Vol. 18, pp. 116–26, 2008.
- S Poornachandra, and N Kumaravel, “Hyper-trim shrinkage for denoising of ECG signal”, J. Digital Signal Process, Vol, 15 No. 3, pp. 317–27, 2005.
- P S Hamilton, “A comparison of adaptive and non adaptive filters for reduction of power line interference in the ECG”, IEEE Transactions on Biomedical Engineering, Vol. 43, no.1, pp. 105–9, 1996.
- D L Donoho, “De-noising by soft thresholding”, IEEE Trans. Inform. Theory, Vol. 41 No. 3. pp. 613–27, 1995.
- C Levkov, and G Mihov, “Removal of power-line interference from the ECG: A review of the subtraction procedure”, Biomed Eng. Online, Vol. 4. pp. 50, 2005.
- N E Huang, Zheng Shen, and Steven R. Long, “The empirical mode composition and the Hilbert spectrum for nonlinear and non-stationary time series analysis”, Proceeding of R.Soc. Lond.A, Vol. 454, pp. 903–95, 1998.
- Naveed ur Rehmanand, and D P Mandic, “Filter Bank Property of Multivariate Empirical Mode Decomposition”, IEEE Transactions on signal processing, Vol. 59, no. 5, pp. 2421–6, May 2011.
- Abdel-Ouahab Boudraa, and Jean-Christophe Cexus, “EMD-Based Signal Filtering”, IEEE Transactions on Instrumentation and Measurement, Vol. 56 No.6, pp. 2196–202.
- H Liang, Z Lin, and R W Mc Callum, “Artifact reduction in electro gastrogram based on the empirical model decomposition method, Medical and Biological Engineering and computing”, Vol. 38, no.1, pp. 35–41, 2000.
- Manuel Blanco-Velasco, and Bin wei Weng, “ECG signal denoising and baseline wander correction based on the empirical mode decomposition”, J. Computers in Biology and Medicine, Vol. 38, pp. 1–13, 2008.
- N V Thakor, and Y S Zhu, “Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhythmia Detection”, IEEE Transactions on Biomedical Engineering, Vol. 38, No. 8, pp. 785–94, Aug. 1991.
- Z Wu, and N E Huang, “A study of the characteristics of white noise using the empirical mode decomposition method”, Proc. R. Soc. Lond. A, Math. Phys. Sci., Vol. 460, no. 2046, pp. 1597–611, Jun. 2004.
- P Flandrin, G Rilling, and P Goncalves, “Empirical mode decomposition as a filter bank”, IEEE Signal Process. Lett., Vol. 11, no. 2, pp. 112–4, 2004.