ECG signal compression plus noise filtering with truncated orthogonal expansions

Signal Processing

Volumn 79, Issue 1, 1999, Pages 97-115

  Olmos, Salvador ^a   García, José ^a   Jané, Raimon ^b   Laguna, Pablo ^a  

^a Depto Ing Electronica Y C   (Spain)

^b Lab Neuroimmonologia P3A   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA COMPRESSION; DATABASE SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL TRANSFORMATIONS; SIGNAL DISTORTION; SIGNAL FILTERING AND PREDICTION; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; WHITE NOISE;

GAUSSIAN WHITE NOISE; LEAST MEAN SQUARES (LMS) ALGORITHMS; SIGNAL COMPRESSION;

ELECTROCARDIOGRAPHY;

EID: 0033321335     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(99)00083-3     Document Type: Article

References (48)

1. J.P. Abenstein, W.J. Tompkins, A new data reduction algorithm for real-Time ECG analysis, IEEE Trans. Biomed. Eng. BME-29 (1) (1982) 43-48.
2. V.A. Allen, J. Belina, ECG data compression using the discrete cosine transform, in: Proceedings of Computers in Cardiology, IEEE Computer Society Press, Silverspring, MD, 1992, pp. 687-690.
3. Barlas G., Skordalakis E. A novel family of compression algorithms for ECG and other semiperiodical, one-dimensional, biomedical signals. IEEE Trans. Biomed. Eng. 43:August 1996;820-828.
4. Barros A.K., Ohnishi N. MSE behavior of biomedical event-related filters. IEEE Trans. Biomed. Eng. 44:September 1997;848-855.
5. Bershad N.J. On the optimum gain parameter in LMS adaptation. IEEE Trans. Acoust. Speech Signal Process. 35:1987;1065-1068.
6. Blanchett T., Kember G.C., Fenton G.A. KLT-based quality controlled compression of single-lead ECG. IEEE Trans. Signal Process. 45:July 1998;942-945.
7. Bradie B. Wavelet package-based compression of single lead ECG. IEEE Trans. Biomed. Eng. 43:1996;493-501.
8. J.D. Bronzino, The Biomedical Engineering Handbook, Compression of Digital Biomedical Signals, CRC Press, Boca Raton, FL, 1995, Chapter 56, pp. 853-865.
9. Çetin A.E., Koymen H., Aydin M.C. Multichannel ECG data compression by multirate signal processing and transform domain coding techniques. IEEE Trans. Biomed. Eng. 40:1993;495-499.
10. Clarkson P., White P. Simplified analysis of the LMS adaptive filter using a transfer function approximation. IEEE Trans. Acoust. Speech Signal Process. 35:July 1987;987-993.
11. Douglas S.C., Pan W. Exact expectation analysis of the LMS adaptive filter. IEEE Trans. Signal Process. 43:December 1995;2863-2872.
12. Elliott S.J., Darlington P. Adaptive cancellation of periodic, synchronously sampled interference. IEEE Trans. Acoust. Signal Process. 33:June 1985;715-717.
13. Feuer A., Weinstein E. Convergence analysis of LMS filters with uncorrelated Gaussian data. IEEE Trans. Acoust. Speech Signal Process. 33:1985;222-230.
14. Fisher B., Bershad N.J. The complex LMS adaptive algorithm - transient weight mean and covariance with application to the ale. IEEE Trans. Accoust. Speech Signal Process. 31:1983;34-44.
15. J. García, S. Olmos, P. Laguna, Performance of RLS and LMS algorithms in KL estimation of ischemic ECG records, in: Proceedings of IEEE Engineering in Medical and Biological Society, CDROM, Amsterdam, 1996.
16. W.A. Gardner, Learning characteristics of stochastic-gradient-descent algorithms: A general show, analysis and critique, Signal Processing 6 (1984) 113-133.
17. A. Gersho, R.M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, Boston, 1992.
18. Hajivandi M., Gardner W. Measures of tracking performance for the LMS algorithm. IEEE Trans. Acoust. Signal Process. 38(11):1990;1953-1958.
19. P.S. Hamilton, W.J. Tompkins, Compression of the ambulatory ECG by average beat subtraction and residual differencing, IEEE Trans. Biomed. Eng. BME-38 (3) (1991) 253-259.
20. S. Haykin, Adaptive Filter Theory, 3rd Edition, Prentice-Hall, Englewood Cliffs, NJ, 1996.
21. Horowitz L., Senne K.D. Performance advantage of complex LMS for controlling narrow-band adaptive arrays. IEEE Trans. Accoust. Speech Signal Process. 29(3):1981;722-736.
22. M. Ishijima, S.B. Shin, G.H. Hostetter, J. Sklansky, Scan along polygonal approximation for data compression of electrocardiograms, IEEE Trans. Biomed. Eng. BME-30 (1983) 723-729.
23. S.M.S. Jalaleddine, C.G. Hutchens, R.D. Strattan, W.A. Coberly, ECG data compresssion techniques: A unified approach, IEEE Trans. Biomed. Eng. BME-37 (April 1990 ) 329-341.
24. R. Jané, S. Olmos, P. Laguna, P. Caminal, Adaptive Hermite models for ECG data compression: Performance and evaluation with automatic wave detection, in: Proceedings of Computers in Cardiology, IEEE Computer Society Press, Silverspring, MD, 1993, pp. 389-392.
25. N.S. Jayant, P. Noll, Digital Coding of Waveforms, Prentice-Hall, Englewood Cliffs, NJ, 1984.
26. Laguna P., Jané R., Masgrau E., Caminal P. The adaptive linear combiner with a periodic-impulse reference input as a linear comb filter. Signal Processing. 48:1996;193-203.
27. Laguna P., Jané R., Meste O., Poon P.W., Caminal P., Rix H., Thakor N.V. Adaptive filter for event-related bioelectric signals using an impulse correlated reference input: Comparison with signal averaging techniques. IEEE Trans. Biomed. Eng. 39(10):1992;1032-1044.
28. Laguna P., Jané R., Olmos S., Thakor N.V., Rix H., Caminal P. Adaptive estimation of QRS complex by the Hermite model for classification and ectopic beat detection. Med. Bio. Eng. Comput. 34:1996;58-68.
29. Laguna P., Moody G., García J., Goldberger A., Mark R. Analysis of the ST-T complex of the electrocardiogram using the Karhunen-Loève transform: adaptative monitoring and alternans detection. Med. Biol. Eng. Comput. 37:1999;175-189.
30. R.D.C. Lamberti, M. Zagnoni, G. Bortolan, Evaluation of algorithms for real-time ECG data compression, in: Proceedings of Computers in Cardiology, IEEE Computer Society Press, Silverspring, MD, 1991, pp. 399-403.
31. O. Macchi, Adaptive Processing: The Least Mean Square Approach with Applications in Transmission, Wiley, New York, US, 1995.
32. O. Macchi, The Theory of Adaptive Filtering in a Random Time-Varying Environment, A. Figueiras-Vidal, London, 1996, pp. 171-206.
33. O. Macchi, E. Eweda, Convergence analysis of self-adaptive equalizers, IEEE Trans. Inform. Theory IT-30 (Special Issue on Linear Adaptive Filtering) (1984) 161-176.
34. G.B. Moody, R.G. Mark, Development and evaluation of a 2-lead ECG analysis program, in: Proceedings of Computers in Cardiology, IEEE Computer Society Press, Silverspring, MD, 1982, pp. 39-44.
35. G.B. Moody, R.G. Mark, The MIT-BIH arrhythmia database on CD-ROM and software for use with it, in: Proceedings of Computers in Cardiology, IEEE Computer Society Press, Silverspring, MD, 1990, pp. 185-188.
36. S. Olmos, Contributions to ECG data compression with orthogonal transforms Ph.D. Thesis, Univ. Politec. of Catalonia, Barcelona, Spain, 1998 (in Spanish).
37. S. Olmos, J. Garcia, R. Jané, P. Laguna, Truncated orthogonal expansions of recurrent signals: Equivalence to a periodic time-variant filter, in: Proceedings of IEEE International Conference on Acoustics Speech Signal Processing, Seattle, USA, 1998, pp. 1709.
38. S. Olmos, P. Laguna, Steady-state MSE convergence analysis in LMS adaptive filters with deterministic reference inputs for biomedical signals, IEEE Trans. Signal Process. (1999), submitted for publication.
39. S. Olmos, M. Millán, J. García, P. Laguna, ECG data compression with the Karhunen-Loève transform, in: Proceedings of Computers in Cardiology 1996, IEEE Computer Society Press, Silverspring, MD, 1996, pp. 253-256.
40. Philips W., Jonghe G.D. Data compression of ECG's by high-degree polynomial approximation. IEEE Trans. Biomed. Eng. 39(4):1992;330-337.
41. L. Scharf, D. Tufts, Rank reduction for modeling stationary signals, IEEE Trans. Acoust. Signal Process. BME-35 (1987) 350-355.
42. Thakor N.V., Guo X., Vaz C., Laguna P., Jané R., Caminal P., Rix H., Hanley D. Orthonormal (Fourier and Walsh) models of time-varying evoked potentials in neurological injury. IEEE Trans. Biomed. Eng. 40(3):1993;213-221.
43. Thakor N.V., Yi-Sheng Z. Applications of adaptive filtering to ECG analysis: Noise cancelation and arrhythmia detection. IEEE Trans. Biomed. Eng. 38:1991;785-794.
44. C.W. Therrien, Discrete Random Signals and Statistical Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1992.
45. W.J. Tompkins, Biomedical Digital Signal Processing, Data Reduction Techniques, Prentice-Hall, Englewood Cliffs, NJ, 1993, Chapter 10, pp. 193-215.
46. Vaz C., Kong X., Thakor N.V. An adaptive estimation of periodic signals using a Fourier linear combiner. IEEE Trans. Signal Process. 42:January 1994;1-10.
47. Widrow B., McCool J., Larimore M.G., Johnson R. Stationary and nonstationary learning characteristics of the LMS adaptive filter. IEEE Proc. 64:August 1976;1151-1162.
48. B. Widrow, S.D. Stearns, Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1985.