Study on non-gaussian ARMA model and bispectrum of lung sounds

S. G. Zhao; S. P. Wang; Y. Zou; H. J. Niu; M. X. Wan

Study on non-gaussian ARMA model and bispectrum of lung sounds

S. G. Zhao^*
, S. P. Wang
, Y. Zou
, H. J. Niu
, M. X. Wan

^*Corresponding author for this work

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The ARMA model parameters of lung-thorax system from lung sound were estimated by the higher-order cumulants. Vesicular breath sounds, wheeze and stridors from the normal lung-thorax system mechanism and abnormal lung-thorax system mechanism were analyzed. Experimental results show that higher-order cummulants can reduce Gaussian noise and reflect the variation of the sound transfer function derived from abnormal lung-thorax system mechanism. It is important for automatic diagnosis of lung-thorax disease.

Original language	English
Pages (from-to)	355-359
Number of pages	5
Journal	Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume	35
Issue number	4
State	Published - Apr 2001
Externally published	Yes

Keywords

Bispectrum
Higher-order cumulants
Lung sounds
Non-Gaussian ARMA model

Cite this

@article{bde9d0444e97434eb02d0ced09da79eb,

title = "Study on non-gaussian ARMA model and bispectrum of lung sounds",

abstract = "The ARMA model parameters of lung-thorax system from lung sound were estimated by the higher-order cumulants. Vesicular breath sounds, wheeze and stridors from the normal lung-thorax system mechanism and abnormal lung-thorax system mechanism were analyzed. Experimental results show that higher-order cummulants can reduce Gaussian noise and reflect the variation of the sound transfer function derived from abnormal lung-thorax system mechanism. It is important for automatic diagnosis of lung-thorax disease.",

keywords = "Bispectrum, Higher-order cumulants, Lung sounds, Non-Gaussian ARMA model",

author = "Zhao, \{S. G.\} and Wang, \{S. P.\} and Y. Zou and Niu, \{H. J.\} and Wan, \{M. X.\}",

year = "2001",

month = apr,

language = "英语",

volume = "35",

pages = "355--359",

journal = "Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University",

issn = "0253-987X",

publisher = "Xi'an Jiaotong University",

number = "4",

}

TY - JOUR

T1 - Study on non-gaussian ARMA model and bispectrum of lung sounds

AU - Zhao, S. G.

AU - Wang, S. P.

AU - Zou, Y.

AU - Niu, H. J.

AU - Wan, M. X.

PY - 2001/4

Y1 - 2001/4

N2 - The ARMA model parameters of lung-thorax system from lung sound were estimated by the higher-order cumulants. Vesicular breath sounds, wheeze and stridors from the normal lung-thorax system mechanism and abnormal lung-thorax system mechanism were analyzed. Experimental results show that higher-order cummulants can reduce Gaussian noise and reflect the variation of the sound transfer function derived from abnormal lung-thorax system mechanism. It is important for automatic diagnosis of lung-thorax disease.

AB - The ARMA model parameters of lung-thorax system from lung sound were estimated by the higher-order cumulants. Vesicular breath sounds, wheeze and stridors from the normal lung-thorax system mechanism and abnormal lung-thorax system mechanism were analyzed. Experimental results show that higher-order cummulants can reduce Gaussian noise and reflect the variation of the sound transfer function derived from abnormal lung-thorax system mechanism. It is important for automatic diagnosis of lung-thorax disease.

KW - Bispectrum

KW - Higher-order cumulants

KW - Lung sounds

KW - Non-Gaussian ARMA model

UR - https://www.scopus.com/pages/publications/0035314392

M3 - 文章

AN - SCOPUS:0035314392

SN - 0253-987X

VL - 35

SP - 355

EP - 359

JO - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

JF - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

IS - 4

ER -

Study on non-gaussian ARMA model and bispectrum of lung sounds

Abstract

Keywords

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