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Higher order spectral analysis for excitation characterization in cough sounds.

Authors
Friend-K; Goldsmith-T; McKinney-W; Reynolds-J; Watkins-S; Frazer-D
Source
Ann Biomed Eng 2001 Oct; 29(Suppl 1):S48
NIOSHTIC No.
20021309
Abstract
Higher order spectral analysis is used to separate the sound source excitation and transmission path during a cough using an autoregressive model base on third order statistics. Volunteer subjects awaiting pulmonary function testing at the West Virginia Hospital were recruited to perform a voluntary cough maneuver. Cough sound pressures were recorded by a perviously described system [1]. Because the respiratory tract changes shape with respect to the excitation with time, it can be modeled as a time-varying filter, H(z), with fixed parameters over shrort time intervals. In order to determine H(z), the cough sound samples were processed through an all-zero digital filter created with an autoregressive routine based on third order cumulants. [2]. The inverse filter was used to separate the excitation source producing the cough sound pressure wave. Coughs were recorded and analyzed from patients diagnosed with obstructive and restrictive lung disease, as well as healthy control subjects.
Keywords
Models; Sampling; Lung-disease; Pulmonary-system-disorders; Pulmonary-congestion; Respiratory-system-disorders
CODEN
ABMECF
Publication Date
20011004
Document Type
Abstract; Conference/Symposia Proceedings
Fiscal Year
2002
NTIS Accession No.
NTIS Price
ISSN
0090-6964
NIOSH Division
HELD
Source Name
Annals of Biomedical Engineering
State
WV
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