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Volumn 3, Issue , 2003, Pages 1457-1460

New Parameters for Respiratory Sound Classification

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; SPEECH ANALYSIS; VECTOR QUANTIZATION;

EID: 0141427965     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (50)

References (12)
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    • Forced expiration in normal subjects: Is the shape of flow rate curve related to existence of a wheeze
    • Charbonneau G, Sudraud M, Racineux J.L, Meslier N and Tuchais E, "Forced expiration in normal subjects: Is the shape of flow rate curve related to existence of a wheeze", Chest, vol. 92, pp. 825-831, 1987.
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  • 6
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    • Classification of asthmatic breath sounds: Preliminary results of the classifying capacity of human examiners versus artificial neural networks
    • Rietveld S., Oud ' M., and Dooijes E.H, "Classification of asthmatic breath sounds: preliminary results of the classifying capacity of human examiners versus artificial neural networks", Comput. Biomed. Res. 32: 440-448, 1999.
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    • Rietveld, S.1    Oud, M.2    Dooijes, E.H.3
  • 7
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    • Classification of respiratory sounds based on wavelet packet decomposition and learning vector Quantization
    • Pesu L., Helistö P., Adomovic E., Pesquet J.C, Saarinen A. and Sovijärvi A.R.A, "Classification of respiratory sounds based on wavelet packet decomposition and learning vector Quantization", Technology and Health Care, vol. 6, no. 1, pp. 65-74, 1998.
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  • 9
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    • Comparison of AR-based algorithms for respiratory sound classification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.