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

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.Search in Google Scholar

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. 785-794.10.1109/10.83591Search in Google Scholar

3. Clifford, G. D., F. Azuaje, P. Mc Sharry. Advanced Methods and Tools for ECG Data Analysis. Artech House Publishers, 2006, pp. 164-167.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.2003.821031Search in Google Scholar

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.2005.12.003Search in Google Scholar

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)90021-0Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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/s10772-016-9388-7Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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. 1386-1391.10.1121/1.382104744838Search in Google Scholar

15. Probst, R., et al. A Review of Otoacoustic Emissions. – J. Acoust. Soc. Amer., Vol. 89, 1991, No 5, pp. 2027-2066.10.1121/1.4008971860995Search in Google Scholar

16. Lim, D. J., F. Kalinec. Cell and Molecular Basis of Hearing. – Kidney Int. Suppl., Vol. 53, 1998, pp. 104-113.Search in Google Scholar

17. Donoho, D. L., et al. De-Noising by Soft-Thresholding. – IEEE Transactions on Information Theory, Vol. 41, 1995, No 3, pp. 613-627.10.1109/18.382009Search in Google Scholar

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. 1200-1224.10.1080/01621459.1995.10476626Search in Google Scholar

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. 1-11.10.1155/2007/41274Search in Google Scholar

20. The MIT-BIH Arrhythmia Database. https://physionet.org/physiobank/database/mitdb/Search in Google Scholar

21. The MIT-BIH Noise Stress Test Database. https://physionet.org/physiobank/database/nstdb/Search in Google Scholar