Snore signal enhancement and activity detection via translation-invariant wavelet transform

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 10, 2008, Pages 2332-2342

  Ng, Andrew Keong ^a   Koh, Tong San ^a   Puvanendran, Kathiravelu ^b   Abeyratne, Udantha Ranjith ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE GENERAL HOSPITAL   (Singapore)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Enhancement and detection; Level correlation dependent (LCD) threshold; Obstructive sleep apnea (OSA); Snore activity (SA) detector; Snore signals; Snoring; Translation invariant discrete wavelet transform (TIDWT); Wavelet thresholding

Indexed keywords

ENHANCEMENT AND DETECTION; LEVEL-CORRELATION-DEPENDENT (LCD) THRESHOLD; OBSTRUCTIVE SLEEP APNEA (OSA); SNORE ACTIVITY (SA) DETECTOR; SNORE SIGNALS; SNORING; TRANSLATION-INVARIANT DISCRETE WAVELET TRANSFORM (TIDWT); WAVELET THRESHOLDING;

COST EFFECTIVENESS; LIQUID CRYSTAL DISPLAYS; REGRESSION ANALYSIS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SIMULATED ANNEALING; SLEEP RESEARCH; TRANSLATION (LANGUAGES);

WAVELET TRANSFORMS;

ABNORMAL RESPIRATORY SOUND; ADULT; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ENERGY; ENVIRONMENT; FEMALE; HUMAN; MALE; NOISE REDUCTION; SENSOR; SIGNAL TRANSDUCTION; SLEEP APNEA SYNDROME; SNORE; STATISTICAL ANALYSIS; THEORETICAL STUDY;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; HUMANS; PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA, OBSTRUCTIVE; SNORING; SOUND; SOUND SPECTROGRAPHY; TECHNOLOGY, MEDICAL;

EID: 53549129993     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.925682     Document Type: Article

References (46)

1. K. Banno and M. H. Kryger, "Sleep apnea: Clinical investigations in humans," Sleep Med., vol. 8, pp. 400-426, 2007.
2. A. Culebras, "Cerebrovascular disease and the pathophysiology of obstructive sleep apnea," Curr. Neurol. Neurosci. Rep., vol. 7, pp. 173-179, 2007.
3. J. Wolf, J. Lewicka, and K. Narkiewicz, "Obstructive sleep apnea: An update on mechanisms and cardiovascular consequences," Nutr. Metab. Cardiovasc. Dis., vol. 17, pp. 233-240, 2007.
4. A. Buttner, "Quality of life in patients with insomnia, narcolepsy and obstructive sleep apnea," Nervenheikunde, vol. 26, pp. 699-707, 2007.
5. T. Young, L. Evans, L. Finn, and M. Palta, "Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women," Sleep, vol. 20, pp. 705-706, 1997.
6. D. Alvarez, R. Hornero, M. Garcia, F. del Campo, and C. Zamarron, "Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure," Artif. Intell. Med., vol. 41, pp. 13-24, 2007.
7. J. I. Salisbury and Y. Sun, "Rapid screening test for sleep apnea using a nonlinear and nonstationary signal processing technique," Med. Eng. Phys., vol. 29, pp. 336-343, 2007.
8. R. Ishida, Y. Yonezawa, H. Maki, H. Ogawa, I. Ninomiya, K. Sada, S. Hamada, A. W. Hahn, and W. M. Caldwell, "A wearable, mobile phone-based respiration monitoring system for sleep apnea syndrome detection," Biomed. Sci. Instrum., vol. 41, pp. 289-293, 2005.
9. H. M. Al-Angari and A. V. Sahakian, "Use of sample entropy approach to study heart rate variability in obstructive sleep apnea syndrome," IEEE Trans. Biomed. Eng., vol. 54, no. 10, pp. 1900-1904, Oct. 2007.
10. H. Hara, N. Murakami, Y. Miyauchi, and H. Yamashita, "Acoustic analysis of snoring sounds by a multidimensional voice program," Laryngoscope, vol. 116, pp. 379-381, 2006.
11. H. Michael, S. Andreas, B. Thomas, H. Beatrice, H. Werner, and K. Holger, "Analysed snoring sounds correlate to obstructive sleep disordered breathing," Eur. Arch. Otorhinolaryngol., vol. 265, pp. 105-113, 2008.
12. T. H. Lee, U. R. Abeyratne, K. Puvanendran, and K. L. Goh, "Formant-structure and phase-coupling analysis of human snoring sounds for the detection of obstructive sleep apnea," Comput. Methods Biomech. Biomed. Eng., vol. 3, pp. 243-248, 2001.
13. A. K. Ng, T. S. Koh, E. Baey, T. H. Lee, U. R. Abeyratne, and K. Puvanendran, "Could formant frequencies of snore signals be an alternative means for the diagnosis of obstructive sleep apnea?," Sleep Med., 2008 (doi: 10.1016/j.sleep.2007.07.010).
14. U. R. Abeyratne, A. S. Karunajeewa, and C. Hukins, "Mixed-phase modeling in snore sound analysis," Med. Biol. Eng. Comput., vol. 45, pp. 791-806, 2007.
15. A. K. Ng, K. Y. Wong, C. H. Tan, and T. S. Koh, "Bispectral analysis of snore signals for obstructive sleep apnea detection," in Proc. Annu. Int. Conf. IEEE Eng. Med. Biol., 2007, pp. 6196-6199.
16. T. H. Lee and U. R. Abeyratne, "Analysis of snoring sounds for the detection of obstructive sleep apnea," Med. Biol. Eng. Comput., vol. 37, pp. 538-539, 1999.
17. A. K. Ng and T. S. Koh, "A high-fidelity acquisition system for snore signals: Design and implementation," in Proc. Int. Conf. IEEE Instrum. Meas. Technol., 2007, pp. 189-193.
18. M. S. Keshner, "1/f noise," Proc. IEEE, vol. 70, no. 3, pp. 212-218, Mar. 1982.
19. G. W. Wornell, "Wavelet-based representations for the 1/f family of fractal processes," Proc. IEEE, vol. 81, no. 10, pp. 1428-1450, Oct. 1993.
20. R. R. Coifman and D. L. Donoho, "Translation-invariant de-noising," in Wavelets and Statistics, A. Antoniadis and G. Oppenheim, Eds. New York: Springer-Verlag, 1995, vol. 103, pp. 125-150.
21. Q. Pan, L. Zhang, G. Z. Dai, and H. C. Zhang, "Two denoising methods by wavelet transform," IEEE Trans. Signal Process., vol. 47, no. 12, pp. 3401-3406, Dec. 1999.
22. M. J. Shensa, "The discrete wavelet transform: Wedding the atrous and Mallat algorithms," IEEE Trans. Signal Process., vol. 40, no. 10, pp. 2464-2482, Oct. 1992.
23. E. Pardo, J. L. San Emeterio, M. A. Rodriguez, and A. Ramos, "Noise reduction in ultrasonic NDT using undecimated wavelet transforms," Ultrasonics, vol. 44, pp. e1063-e1067, 2006.
24. G. Beylkin, "On the representation of operators in bases of compactly supported wavelets," SIAM J. Numer. Anal., vol. 29, pp. 1716-1740, 1992.
25. H. T. Guo, "Theory and applications of the shift-invariant, time-varying and undecimated wavelet transforms," Master's thesis, George R. Brown School Eng., Rice Univ., Houston, TX, 1995.
26. J. Enders, W. Geng, P. Li, M. W. Frazier, and D. J. Scholl, "The shift-invariant discrete wavelet transform and application to speech waveform analysis," JAS, vol. 117, pp. 2122-2133, 2005.
27. D. L. Donoho, "De-noising by soft-thresholding," IEEE Trans. Inf. Theory, vol. 41, no. 3, pp. 613-627, May 1995.
28. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
29. F. Abramovich, T. C. Bailey, and T. Sapatinas, "Wavelet analysis and its statistical applications," J. Roy. Stat. Soc. Ser. D - Stat., vol. 49, pp. 1-29, 2000.
30. D. L. Donoho and I. M. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," J. Amer. Stat. Assoc., vol. 90, pp. 1200-1224, 1995.
31. I. M. Johnstone and B. W. Silverman, "Wavelet threshold estimators for data with correlated noise," J. Roy. Stat. Soc. Ser. B - Stat. Methodol., vol. 59, pp. 319-351, 1997.
32. K. Berkner and R. O. J. Wells, "Smoothness estimates for soft-threshold denoising via translation-invariant wavelet transforms," Appl. Comput. Harmonic Anal., vol. 12, pp. 1-24, 2002.
33. I. Daubechies, "Orthogonal bases of compactly supported wavelets," Comm. Pure Appl. Math., vol. 41, pp. 909-996, 1988.
34. S. K. Mitra, Digital Signal Processing. New York: McGraw-Hill, 2005.
35. D. J. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures: Chapman & Hall/CRC, 2007.
36. S. Cui, Y. Wang, and J. E. Fowler, "Motion estimation and compensation in the redundant-wavelet domain using trianglemeshes," Signal Process.: Image Commun., vol. 21, pp. 586-598, 2006.
37. G. Deslauriers and S. Dubuc, "Symmetric iterative interpolation processes," Constr. Approx., vol. 5, pp. 49-68, 1989.
38. N. Saito and G. Beylkin, "Multiresolution representations using the autocorrelation functions of compactly supported wavelets," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3584-3590, Dec. 1993.
39. M. Lang, H. Guo, J. E. Odegard, C. S. Burrus, and R. O. Wells, Jr., "Noise reduction using an undecimated discrete wavelet transform," IEEE Signal Process. Lett., vol. 3, no. 1, pp. 10-12, Jan. 1996.
40. M. R. Leadbetter, G. Lindgren, and H. Rootzen, Extremes and Related Properties of Random Sequences and Processes. New York: Springer-Verlag, 1983.
41. B. W. Silverman, "Wavelets in statistics: Beyond the standard assumptions," Philos. Trans. Ser. A - Math. Phys. Eng. Sci., vol. 357, pp. 2459-2473, 1999.
42. P. C. Loizou, Speech Enhancement: Theory and Practice. New York: CRC, 2007.
43. M. Cavusoglu, M. Kamasak, O. Erogul, T. Ciloglu, Y. Serinagaoglu, and T. Akcam, "An efficient method for snore/nonsnore classification of sleep sounds," Physiol. Meas., vol. 28, pp. 841-853, 2007.
44. A. Ouzounov, "A robust feature for speech detection," Cybern. Inf. Technol., vol. 4, pp. 3-14, 2004.
45. M. H. Zweig and G. Campbell, "Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine," Clin. Chem., vol. 39, pp. 561-577, 1993.
46. P. Stoica and R. L. Moses, Spectral Analysis of Signals. Englewood Cliffs, NJ: Prentice-Hall, 2005.