Analiza i modelowanie sygnałów osłuchu płuc

• Autorzy: Wiśniewski M. , Zieliński T.

Warianty tytułu

EN

Analysis and modelling of lung sounds

• Języki publikacji: PL

Abstrakty

PL

Artykuł dotyczy problematyki modelowania sygnałów pozyskanych podczas osłuchu płuc. Oprócz modelu normalnego oddechu zdrowego pacjenta, przedstawiono opracowany model świstów astmatycznych, jednego z najpopularniejszych objawów zaburzenia oddychania. Biorąc pod uwagę fakt, że świsty osadzone są na tle normalnego oddechu, w artykule przedstawiono metodykę wyliczania poprawnego stosunku sygnałów tonalnych świstu do sygnału normalnego oddechu. Przeprowadzono również analizę przedziałów częstotliwości tonów występujących w świstach rzeczywistych.

EN

The paper addresses a problem of modelling lung sounds. Apart from typical human breath of a healthy person, the model of asthma wheeze, one of the most often breathing disorders, is presented. Since wheezes are embedded in normal human breath, the methodology of signal-to noise (wheeze-to-breath) ratio calculation is discussed in the paper. The frequency range of wheezes present in real recordings is investigated in this work, too. Section 2 specifies signals that are obtained during the chest auscultation. In Section 3 feature identification and signal modelling of normal lung sounds are made. In this section the distribution of signal samples and the mean signal spectrum are shown in the figures. Section 4 describes identification of real signal features and modelling of wheezes. This section presents histograms of SNR (Signal to Noise Ratio or Wheeze-to-Breath Ratio), number of tones in wheezes and tone frequencies for real signals and generated tonalities. The model verification results obtained with use of tonality detection algorithms are given in Section 6. The short conclusions and a list of references are at the end of the paper.

Słowa kluczowe

PL

osłuch płuc; modelowanie; oddech; świsty

EN

chest auscultation; modeling; lung sounds; wheezes

• Wydawca: Wydawnictwo PAK
• Czasopismo: Pomiary Automatyka Kontrola
• Rocznik: 2012
• Tom: R. 58, nr 4
• Strony: 383--386
• Opis fizyczny: Bibliogr. 11 poz., rys., wykr., wzory

Twórcy

autor

Wiśniewski M.

autor

Zieliński T.

• Akademia Górniczo-Hutnicza w Krakowie,

Bibliografia

• [1] Coatrieux, J. L.: Integrative science: biosignal processing and modeling. IEEE Engineering in Medicine and Biology Magazine, Volume : 23, Issue:3 pp. 9-12, May-June 2004.
• [2] Iier V. K., Ramamoorthy P. A., Ploysongsang Y.: Autoregressive modeling of lung sounds: characterization of source and trans-mission. IEEE Transactions on Biomedical Engineering, Volume: 36, Issue: 11 pp. 1133-1137, Nov. 1989.
• [3] Hadjileontiadis L. J., Panas S. M.: Autoregressive modeling of lung sounds using higher-order statistics: estimation of source and transmission, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 4-8, 21-23 Jul 1997.
• [4] Wisniewski M., Zielinski T.: Application of Tonal Index to pulmonary wheezes detection in asthma monitoring, European Signal Process. Conf., Barcelona, pp. 1544-1548, 2011.
• [5] Wisniewski M., Zielinski T.: Tonality detection methods for wheezes recognition system, 19th International Conf. on Systems, Signals and Image Processing IWSSIP, Vienna 2012, accepted, in print.
• [6] Pasterkamp H., Kraman S. S., Wodicka G. R.: Respiratory Sounds. Advances Beyond the Stethoscope, Am. J. Respir. Crit. Care Med., Volume 156, Number 3, pp. 974-987, September 1997.
• [7] Sovijarvi A. R. A., Dalmasso F., Vanderschoot J., Malberg L. P., Righini G., Stoneman S. A. T.: Definition of Terms for Applications of Respiratory Sounds, Eur. Respir. Rev., vol. 10, no. 77, pp. 597-610, December 2000.
• [8] http://solutions.3m.com/wps/portal/3M/en_US/Littmann/stethoscope/education/lung_sounds/
• [9] http://faculty.etsu.edu/arnall/www/public_html/heartlung/breathsounds/contents.html
• [10] Wang Q., Wan C. R.: A novel CFAR tonal detector using phase compensation, IEEE J. Oceanic Engineering, vol. 30, no. 4, pp. 900-911, 2005.
• [11] Chang G. C., Cheng Y. P.: Investigation of noise effect on lung sound recognition, International Conference on Machine Learning and Cybernetics, Kunming, Vol. 3 pp. 1298-1301, 12-15 July 2008.