Abstract
During lung sound recordings, heart sounds (HS) interfere with clinical interpretation of lung sounds over the low frequency components which is significant especially at low flow rates. Hence, it is desirable to cancel the effect of HS on lung sound records. In this paper, a novel HS cancellation method is presented. This method first localizes HS segments using multiresolution decomposition of the wavelet transform coefficients, then removes those segments from the original lung sound record and estimates the missing data via a 2D interpolation in the time-frequency (TF) domain. Finally, the signal is reconstructed into the time domain. To evaluate the efficiency of the TF filtering, the average power spectral density (PSD) of the original lung sound segments with and without HS over four frequency bands from 20 to 300 Hz were calculated and compared with the average PSD of the filtered signals. Statistical tests show that there is no significant difference between the average PSD of the HS-free original lung sounds and the TF-filtered signal for all frequency bands at both low and medium flow rates. It was found that the proposed method successfully removes HS from lung sound signals while preserving the original fundamental components of the lung sounds.
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Abbreviations
- ANC:
-
Adaptive noise cancellation
- CWT:
-
Continuous wavelet transform
- ECG:
-
Electrocardiogram
- EMG:
-
Electromyogram
- FOS:
-
Fourth-order statistics
- HS:
-
Heart sounds
- HPF:
-
High pass filtering
- LMS:
-
Least mean square
- RLS:
-
Recursive least squares
- ROKF:
-
Reduced order Kalman filtering
- PSD:
-
Power spectral density
- STFT:
-
Short-time Fourier transform
- TF:
-
Time-frequency
References
Bikdash MU, Yu KB (1993) Analysis and filtering using the optimally smoothed Wigner distribution. IEEE Trans Acoust Speech Signal Process 41(4):1603–1617
Charleston S, Azimi-Sadjadi MR (1996) Reduced order Kalman filtering for the enhancement of respiratory sounds. IEEE Trans Biomed Eng 43(4):421–424
Cheney W, Kincaid D (1997) Numerical mathematics and computing, 4th edn, Chapter 7. Books/Cole Publishing Company
Gnitecki J, Moussavi Z, Pasterkamp H (2003) Recursive least squares adaptive noise cancellation filtering for heart sound reduction in lung sounds recordings. In: Proceedings of the 25th annual international conference on IEEE EMBS, vol 3, pp 2416–2419
Guangbin L, Shaoqin C, Jingming Z, Jinzhi C, Shengju W (1992) The development of a portable breath sounds analysis system. In: Proceedings of the 14th annual international conference on IEEE EMBS, pp 2582–2583
Hadjileontiadis LJ, Panas SM (1997) Adaptive reduction of heart sounds from lung sounds using fourth-order statistics. IEEE Trans Biomed Eng 44(7):642–648
Hadjileontiadis LJ, Panas SM (1998) A wavelet-based reduction of heart sound noise from lung sounds. Int J Med Info 52:183–190
Hossain I, Moussavi Z (2003) An overview of heart-noise reduction of lung sound using wavelet transform based filter. In: Proceedings of the 25th annual international conference on IEEE EMBS, vol 1, pp 458–461
Iyer VK, Ramamoorthy PA, Fan H, Ploysongsang Y (1986) Reduction of heart sounds from lung sounds by adaptive filtering. IEEE Trans Biomed Eng 33(12):1141–1148
Jain AK (1989) Fundamentals of digital image processing. Prentice-Hall, Englewood Cliffs
Kompis M, Russi E (1992) Adaptive heart-noise reduction of lung sounds recorded by a single microphone. In: Proceedings of the 14th annual international conference on IEEE EMBS, pp 691–692
Mersereau RM, Oppenheim AV (1974) Digital reconstruction of multidimensional signals from their projections. Proc IEEE 62(10):319–338
Mewett DT, Nazeran H, Reynolds KJ (2001) Removing power line noise from recorded EMG. In: Proceedings of the 23rd annual international conference on IEEE EMBS, pp 2190–2193
Nawab H, Quatieri TF (1988) Short-time Fourier transform. In: Lim JS, Oppenheim AV (eds) Chapter 6 of advanced topics in signal processing. Prentice-Hall, Englewood Cliffs, pp 289–337
Pasterkamp H, Kraman SS, Wodicka GR (1997) Respiratory sounds: advances beyond the stethoscope. Am J Respir Crit Care Med 156(3.1):974–987
Portnoff MR (1980) Time-frequency representation of digital signals and systems based on the short-time Fourier analysis. IEEE Trans Acoust Speech Signal Process 28(1):55–69
Pourazad MT (2004) Heart sound reduction from lung sound recordings applying signal and image processing techniques in time-frequency domain. Master’s Thesis, University of Manitoba, Winnipeg
Pourazad MT, Moussavi Z, Thomas G (2003) Heart sound cancellation from lung sound recordings using adaptive threshold and 2D interpolation in time-frequency domain. In: Proceedings of the 25th annual international conference on IEEE EMBS, pp 2586–2589
Proakis JG, Manolakis DG (1996) Digital signal processing: principles, algorithms, and applications, 3th edn, Chapter 12. Prentice-Hall, Upper Saddle River
Reyes-Gomez MJ, Jojic N, Ellis D (2004) Detailed graphical models for source separation and missing data interpolation in audio Snowbird Learning Workshop, Computational and Biological Learning Society, Snowbird Utah. http://www.ee.columbia.edu/~dpwe/pubs/snowbird04-transform.pdf
Schuttler F, Penzel T, Wichert PV (1997) Digital recording and computer-based analysis of lung sounds. In: Proceedings of the 18th annual international conference on IEEE EMBS, pp 2301–2302
Son JS, Thomas G, Flores BC (2001) Range-Doppler radar imaging and motion compensation, Chapters 9, 13. Artech House Publishers, Boston
Spath H (1995) Two dimensional spline interpolation algorithms, Chapters 2, 4. A K Peters Ltd, Wellesley
Thomas G, Brito A (1997) Noise suppression and component extraction of underwater acoustic signals. In: Proceedings of IEEE Oceans 97, Halifax, pp 267–270
Thomas G, Flores BC, Tariq S (2001) Selective motion compensation in SAR/ISAR imagery. SPIE Opt Eng J 40(2):217–226
Vannuccinni L, Earis J, Helisto P (2000) Capturing and preprocessing of respiratory sounds. Eur Respir Rev 10(77):616–620
Yang-Sheng L, Wen-Hui L, Guang-Xia Q (1988) Removal of the heart sound noise from the breath sound. In: Proceedings of the 10th annual international conference on IEEE EMBS, pp 175–176
Yip L, Zhang YT (2001) Reduction of heart sounds from lung sound recordings by automated gain control and adaptive filtering techniques. In: Proceedings of the 23rd annual international conference on IEEE EMBS, pp 2154–2156
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Pourazad, M.T., Moussavi, Z. & Thomas, G. Heart sound cancellation from lung sound recordings using time-frequency filtering. Med Bio Eng Comput 44, 216–225 (2006). https://doi.org/10.1007/s11517-006-0030-8
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DOI: https://doi.org/10.1007/s11517-006-0030-8