A Comparative Study for Disease Identification from Heart Auscultation using FFT, Cepstrum and DCT Correlation Coefficients

Author:

Majumder Swanirbhar,Pal Saurabh,Dutta Pranab Kishore

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. R Subadar, S Majumder, A D Singh, “Computer Based Heart Auscultation Analysis”, Pg 27, proceedings of National Conference on Emerging Trends in Information Technology and its Application for Technical and Management Education, (NETIT2M’ 08), Alwar, Rajasthan, India.

2. L.G. Durand and P. Pibarot, Digital Signal Processing of the Phonocardiogram: Review of the Most Recent Advancements, Critical Review in Biomedical Eng., Vol 23, pp. 163–219, 1995

3. L.G. Durand and G. Cloutier, Comparison of Pattern Recognition Methods for Cornouter-Assisted Classification of Spectra of Heart Sounds h Patients with a Porcine Bioprosthetic Valve Implanted in the Mitral Position, IEEE Trans. on Biomedical Eng., vol. 37, No. 12, pp. 1121–1129.

4. B. P. Bogert, M. J. Healy, and J. W. Tukey, “The frequency analysis of time series for echoes: cepstrum, pseudo-autocovariance, aosscepstrum, and saphe cracking, ” in Time Series Analysir, M. Rosenblatt, Ed. New York: Wiley, 1963, Chap. 15, pp. 209–243.

5. B. P. Bogert and J. F. Ossanna, “The heuristics of cepstrum analysis; of a stationary complex echoed Gaban signal in stationary Gaussian noise,” IEEE 7kans. Inform. Theory, vol. IT-12, pp-373–380, July 1966.

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1. PCG-Based Biometrics;Handbook of Research on Information Security in Biomedical Signal Processing;2018

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