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A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction Cover

A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction

Open Access
|Jan 2017

References

  1. 1. Clifford, G. D., F. Azuaje, P. McSharry. Advanced Methods and Tools for ECG Data Analysis. Linear Filtering Methods. Chapter 5. Boston, Artech House Publishers, 2006.
  2. 2. Thakor, N. V., Y. S. Zhu. Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhythmia Detection. – IEEE Transactions on Biomedical Engineering, Vol. 38, 1991, No 8, pp. 785-794.10.1109/10.83591
  3. 3. Clifford, G. D., F. Azuaje, P. Mc Sharry. Advanced Methods and Tools for ECG Data Analysis. Artech House Publishers, 2006, pp. 164-167.
  4. 4. Daqrouq, K., et al. ECG Baseline Wander Reduction Using Discrete Wavelet Transform. – Asian Journal of Information Technology, Vol. 4, 2005, No 11, pp. 989-995.
  5. 5. Kestler, H. A., M. Haschka, W. Kratz et al. Denoising of High-Resolution ECG Signals by Combining the Discrete Wavelet Transform with the Wiener Filter. – Proceedings of Computers in Cardiology, 1998, pp. 233-236.
  6. 6. Martínez, J. P., et al. A Wavelet-Based ECG Delineator: Evaluation on Standard Database. – IEEE Trans. Biomed. Eng., Vol. 51, 2004, No 4, pp. 570-581.10.1109/TBME.2003.821031
  7. 7. Singh, B. N., A. K. Tiwari. Optimal Selection of Wavelet Basis Function Applied to ECG Signal Denoising. – Digit. Signal Process, Vol. 3, 2006, No 16, pp. 275-287.10.1016/j.dsp.2005.12.003
  8. 8. Meyer, C. R., H. N. Keiser. Electrocardiogram Baseline Noise Estimation and Removal Using Cubic Splines and State-Space Computation Techniques. – Computers and Biomedical Research, Vol. 10, 1977, No 5, pp. 459-470.10.1016/0010-4809(77)90021-0
  9. 9. MacFarlane, P. W., J. Peden, J. Lennox, M. P. Watts, T. D. Lawrie. The Glasgow System. Trends in Computer Processed Electrocardiograms. – In: Proc. of IFIP Working Conference on Trends in Computer-Processed Electrocardiograms, 1977, pp. 143-150.
  10. 10. Yao, J., Y. T. Zhang. From Otoacoustic Emission Modeling to Bionic Wavelet Transform. – In: Proc. of 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 1, 2000, pp. 314-316.
  11. 11. Mourad, T., et al. Speech Enhancement Based on Stationary Bionic Wavelet Transform and Maximum a Posterior Estimator of Magnitude-Squared Spectrum. – International Journal of Speech Technology, 2016, pp. 1-14.10.1007/s10772-016-9388-7
  12. 12. Mourad, T., et al. Bionic Wavelet Based Denoising Using Source Separation. – International Journal of Computers Communications & Control, Vol. 7, 2012, No 3, pp. 529-539.
  13. 13. Zuo, D. G., et al. Research on a Speech Denoising Method Based on Bionic Wavelet Transform and Fuzzy Reasoning. – Electronic Design Engineering, Vol. 1, 2013, No 51.
  14. 14. Kemp, D. T., et al. Stimulated Acoustic Emissions from Within the Human Auditory System. – J. Acoust. Soc. Amer., Vol. 64, 1978, No 5, pp. 1386-1391.10.1121/1.382104744838
  15. 15. Probst, R., et al. A Review of Otoacoustic Emissions. – J. Acoust. Soc. Amer., Vol. 89, 1991, No 5, pp. 2027-2066.10.1121/1.4008971860995
  16. 16. Lim, D. J., F. Kalinec. Cell and Molecular Basis of Hearing. – Kidney Int. Suppl., Vol. 53, 1998, pp. 104-113.
  17. 17. Donoho, D. L., et al. De-Noising by Soft-Thresholding. – IEEE Transactions on Information Theory, Vol. 41, 1995, No 3, pp. 613-627.10.1109/18.382009
  18. 18. Donoho, D. L., I. M. Johnstone. Adapting to Unknown Smoothness via Wavelet Shrinkage. – Journal of the American Statistical Association, Vol. 90, 1995, No 432, pp. 1200-1224.10.1080/01621459.1995.10476626
  19. 19. Sayadi, O., M. B. Shamsollahi. Multiadaptive Bionic Wavelet Transform: Application to ECG Denoising and Baseline Wandering Reduction. – Eurasip Journal on Advances in Signal Processing, Vol. 1, 2007, pp. 1-11.10.1155/2007/41274
  20. 20. The MIT-BIH Arrhythmia Database. https://physionet.org/physiobank/database/mitdb/
  21. 21. The MIT-BIH Noise Stress Test Database. https://physionet.org/physiobank/database/nstdb/
DOI: https://doi.org/10.1515/cait-2016-0077 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 60 - 68
Published on: Jan 25, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Ludi Wang, Xiaoguang Zhou, Ying Xing, Siqi Liang, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.