Heart sound cancellation based on multiscale products and linear prediction

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 2, 2007, Pages 234-243

  Flores Tapia, Daniel ^a   Moussavi, Zahra M K ^a   Thomas, Gabriel ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Heart sound cancellation; Linear prediction; Wavelet multiscale products

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTER SIMULATION; DIGITAL FILTERS; SIGNAL DETECTION; SOUND RECORDING; WAVELET TRANSFORMS;

HEART SOUND CANCELLATION; LINEAR PREDICTION; WAVELET MULTISCALE PRODUCTS;

CARDIOLOGY;

ADOLESCENT; ADULT; ARTICLE; FEMALE; FILTER; HEART SOUND; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; PREDICTION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SCHOOL CHILD; SIGNAL DETECTION; SOUND DETECTION; SPECTROSCOPY;

ADULT; ALGORITHMS; AUSCULTATION; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HEART SOUNDS; HUMANS; LINEAR MODELS; MALE; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; RESPIRATORY SOUNDS; SENSITIVITY AND SPECIFICITY;

EID: 33846708246     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.886935     Document Type: Article

References (14)

1. J. Gnitecki, I. Hossain, Z. Moussavi, and H. Pasterkamp, "Qualitative and quantitative evaluation of heart sound reduction from lung sound recordings," IEEE Trans. Biomed. Eng., vol. 52, no. 10, pp. 1788-1792, Oct. 2005.
2. M. T. Pourazad, Z. K. Moussavi, and G. Thomas, "Heart sound cancellation from lung sound recordings using adaptive threshold and 2-D interpolation in time-frequency domain," in Proc. IEEE Eng. Med. Biol. Soc. Conf., Cancun, Mexico, Sep. 2003, pp. 2586-2589.
3. Z. Moussavi, D. Flores, and G. Thomas, "Heart sound cancellation based on multiscale products and linear prediction," in Proc. IEEE Eng. Med. Biol. Soc. Conf., Sep. 2004, pp. 3840-43.
4. D. Flores, G. Thomas, and M. C. Phelan, "Clutter reduction of GPR images using multiscale products," in Proc. IASTED Int. Conf. Antennas, Radar and Wave Propagation 2004, Banff, AB, Canada, Jul. 2004, pp. 181-185.
5. C. Chui,Wavelets: A Tutorial in Theory and Applications. San Diego, CA: Academic, 1992.
6. S. Mallat and S. Zhong, "Characterization of signals from multiscale edges," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 7, pp. 710-732, Jul. 1992.
7. J. C. Pesquet, H. Krim, and H. Carfatan, "Time-invariant orthonormal wavelet representations," IEEE Trans. Signal Process., vol. 44, no. 8, pp. 1964-1970, Aug. 1996.
8. P. Bao and L. Zhang, "Noise reduction for magnetic resonance images via adaptive multiscale products thresholding," IEEE Trans. Med. Imag., vol. 22, no. 9, pp. 1089-1099, Sep. 2003.
9. Y. Meyer, Wavelets and Operators. Cambridge, U.K: Cambridge Univ. Press, 1992.
10. J. D. Proakis and D. G. Manolakis, Digital Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1996.
11. W. Etter, "Restoration of a discrete-time signal segment by interpolation based on the left-sided and right sided autoregressive parameters," IEEE Trans. Signal Process., vol. 44, no. 5, pp. 1124-1135, May 1996.
12. A. Z. R. Langi and H. B. Nugraha, "A wavelet-based measurement of signal fractal dimensions," in Proc. IEEE CCECE 2002,May 2002, pp. 1001-1004.
13. H. O. Peitgen, J. Hartmut, and S. Dietmar, Chaos and Fractals: New Frontiers of the Science. New York: Spinger, 1992, pp. 984-985.
14. W. Kinsner, Fractal Dimensions: Morphological, Entropy, Spectrum and Variance Classes Dept. Electrical Engineering, Univ. Manitoba,, Winnipeg, MB, Canada, Tech. Rep., 1994.