Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A New Pattern Classification and the Analysis of the Lung Sound by Using Cepstrum

Cepstrum을 이용한 폐음의 분석 및 패턴 분류

  • 김종원 (서울시립대학교 전자공학과) ;
  • 김성환 (서울시립대학교 전자공학과)
  • Published : 1994.06.01
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Abstract

A new pattern classification algorithm using cepstrum to analyze lung sounds for the classification of pattern with pulmonary and bronchial disorders is proposed. To evaluate the perfomance of the proposed method, the results are compared to the pattern classification with the AR modeling method. In the experiment lung sounds recorded for the training of physician used. As a results, the accuracy of the cepstrum classification is 92.3 % and AR modeling is the 53.8 %, therefore cepstrum modeling method has very high performance than AR and it turned out to be a very efficient algorithm.

Keywords

References

  1. Brit. J.Dis. Chest v.63 Lung Sounds P.Forgacs
  2. the American Physiological Society An accurate recording system and its use in breath sounds spectral anaylsis G.Charbonneaum;J.L.Racineux;M.Sudraud;E.Tuchais
  3. Am. Rev. Resp. Dis. v.107 Phonopneumography Banazak,E.F;R.C.Kory;G.L.Snider
  4. Experienta v.25 Recording and analysis of sounds produced by human lungs during respiration Nachman. R. M. Nachman;L.Vinaru
  5. J. Occup. Med. v.15 Chest ausculation and diagnosis of pulmonary asbestosis Murphy.R.L.H.;K.Sarensen
  6. IEEE, Trans. v.BME-31 no.9 Analysis and Automatic Classification of Breath sounds Arnon Cohen;Dorota Landsberg
  7. Optimum signal processing: An Introduction Sophocles J. Orfanidis
  8. IEEE Trans. v.ASSP-24 no.5 Distance Measure for Speech Processing Agustine H. Gray, JR.;John D. Markel
  9. IEEE, EMB Magazine v.13 no.1 Biosignla Pattern Recognition and Interpretation Systems-Part 3 of 4: Methods of Classification E.Ciaccio;S.M.Dunn;M.Akay
  10. Understanding Lung sounds Steven Leherer.M.D.
  11. 서울시랍대학교, 석사학위논문 디지탈 신호처리 컴퓨터를 이용한 뇌 유발전위 분석시스템 개발에 관한 연구 김정우