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Volumn , Issue , 2013, Pages 981-984

Estimation of instantaneous frequency from empirical mode decomposition on respiratory sounds analysis

Author keywords

[No Author keywords available]

Indexed keywords

ADVENTITIOUS SOUNDS; EMPIRICAL MODE DECOMPOSITION; HIGH TEMPORAL RESOLUTION; INSTANTANEOUS FREQUENCY; NONSTATIONARY DATA; SHORT TIME FOURIER TRANSFORMS; SIGNAL CHARACTERISTIC; TIME-FREQUENCY DISTRIBUTIONS;

EID: 84886504317     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6609667     Document Type: Conference Paper
Times cited : (18)

References (13)
  • 3
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    • Wheeze detection based on timefrequency analysis of breath sounds
    • August
    • S.A. Taplidou, L.J. Hadjileontiadis, "Wheeze detection based on timefrequency analysis of breath sounds, " Computers in Biology and Medicine, vol. 37, pp. 1073-1083, August 2007.
    • (2007) Computers in Biology and Medicine , vol.37 , pp. 1073-1083
    • Taplidou, S.A.1    Hadjileontiadis, L.J.2
  • 4
    • 80155129696 scopus 로고    scopus 로고
    • Automatic respiratory sound classification using temporal-spectral dominance
    • Barcelona, Spain, July
    • F. Jin, F. Sattar, S. Krishnan, "Automatic respiratory sound classification using temporal-spectral dominance, " in IEEE International Conf. on Multimedia and Expo (ICME), Barcelona, Spain, July 2011, pp. 1-4.
    • (2011) IEEE International Conf. on Multimedia and Expo (ICME) , pp. 1-4
    • Jin, F.1    Sattar, F.2    Krishnan, S.3
  • 5
    • 84864363347 scopus 로고    scopus 로고
    • Signal feature extraction by multi-scale pca and its application to respiratory sound classification
    • July
    • S. Xie, F. Jin, S. Krishnan, F. Sattar, "Signal feature extraction by multi-scale PCA and its application to respiratory sound classification, " Medical and Biological Engineering and Computing, vol. 50, pp. 759-768, July 2012.
    • (2012) Medical and Biological Engineering and Computing , vol.50 , pp. 759-768
    • Xie, S.1    Jin, F.2    Krishnan, S.3    Sattar, F.4
  • 6
    • 84937035392 scopus 로고
    • Estimating and interpreting the instantaneous frequency of a signal-part 1: Fundamentals
    • B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal-Part 1: Fundamentals, " Proceedings of the IEEE, vol. 80, pp. 520-538, 1992.
    • (1992) Proceedings of the IEEE , vol.80 , pp. 520-538
    • Boashash, B.1
  • 8
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis
    • March
    • N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung, H.H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, " Proc. R. Soc. Lond. A, vol. 454, pp. 903-995, March 1998.
    • (1998) Proc. R. Soc. Lond. A , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3    Wu, M.C.4    Shih, H.H.5    Zheng, Q.6    Yen, N.C.7    Tung, C.C.8    Liu, H.H.9
  • 9
    • 80052637482 scopus 로고    scopus 로고
    • On hilbert spectral representation: A true time-frequency representation for nonlinear and nonstationary data
    • N.E. Huang, X. Chen, M-T. Lo, Z. Wu, "On Hilbert spectral representation: a true time-frequency representation for nonlinear and nonstationary data, " Advances in Adaptive Data Analysis, vol. 3, pp. 63-93, 2011.
    • (2011) Advances in Adaptive Data Analysis , vol.3 , pp. 63-93
    • Huang, N.E.1    Chen, X.2    Lo, M.-T.3    Wu, Z.4
  • 11
    • 68149153987 scopus 로고    scopus 로고
    • Empirical mode decomposition and fractal dimension filter. A novel technique for denoising explosive lung sounds
    • Jan-Feb
    • L.J. Hadjileontiadis, "Empirical mode decomposition and fractal dimension filter. A novel technique for denoising explosive lung sounds, " IEEE Engineering in Medicine and Biology Magazine, vol. 26, pp. 30-39, Jan-Feb 2007.
    • (2007) IEEE Engineering in Medicine and Biology Magazine , vol.26 , pp. 30-39
    • Hadjileontiadis, L.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.