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A Study on Stethoscope Signal Analysis for Normal and Heart-diseased Children

정상 및 심질환 소아의 청진음 분석에 관한 연구

  • Kim, Dong-Jun (Dept. of Electronic Engineering, Cheongju University)
  • Received : 2016.11.23
  • Accepted : 2017.03.10
  • Published : 2017.04.01

Abstract

This study tries to analyze morphology and formant frequencies of linear prediction spectra of stethoscope sounds for heart diseased children. For this object, heart diseased stethoscope sounds were collected in the pediatrics of an university hospital. The collected signals were preprocessed and analyzed by the Burg algorithm, a kind of linear prediction analysis. The linear prediction spectra and the formant frequencies of the spectra for the stethoscope sounds for the normal and the diseased children are estimated and compared. The spectra showed outstanding differences in morphology and formant frequencies between the normal and the diseased children. Normal children showed relatively low frequency of F1(the first formant) and small negative slope from F1. VSD children revealed stiff slope change around F1 to F3. Spectra of ASD children is similar with the normal case, but have negative values of F3. F1-F2 difference of the functional murmur children were relatively large.

Keywords

References

  1. B. Jin, H. Bae, S. Song and Y. Kim, Clinical Physiology, pp. 1-135, Daehakseorim, 1999.
  2. S. P. Herkole, J. T. Edward, "Spectral Composi- tion of Heart Sounds Before and After Mechanical heart Valve Implantation Using a Modified Forward-backward Prony's Method." IEEE Trans. on Biomed. Eng. No. 7. pp. 734-742, July 1996. https://doi.org/10.1109/10.503181
  3. Heartsound, http://bmsp.chonbuk.ac.kr/%BD%C9%C0%BD.htm, Sep. 2013.
  4. N. Jung, Auscultation and Practice of Heartsound, Cheongdam, pp. 33-35, 4. 2004.
  5. http://medical.amc.seoul.kr/medservice/faq/list.do?SK=SUBJECT&SW=%BD%C9%C0%E2%C0%BD&mainDeptCd=&x=0&y=0, 2013.10.20.
  6. S. Furui, Digital Speech Processing, Sysnthesis, and Recognition, Marcel Dekker Inc., 1992.
  7. D. Kim, "Formant Detection Technique for the Phonocardiogram Spectra Using the 1st and 2nd Derivatives", Trans. of KIEE, pp. 1605-1610, Dec. 2015.
  8. J. Ning, "Quantitative Analysis of Heart Sounds and systolic Heart Murmurs Using Wavelet Transform and AR Modeling", IEEE EMBS, pp. 959-961, Sep. 2009.
  9. P. S. Molcer,"Examination of Formant Frequencies for Further Classification of Heart Murmurs", IEEE SISY, pp. 575-578, Sep. 2010.
  10. Z. Tuel, "Time-frequency Analysis of Heart Sounds in Telemedicine Consulting System for Auscultation", Intern. Conf. on Information and Automation Shenyang, pp. 652-657, June 2012.