DocumentCode :
2570880
Title :
Spectral analysis of respiratory sounds to assess bronchodilator effect in asthmatic patients
Author :
Jané, R. ; Salvatella, D. ; Fiz, J.A. ; Morera, J.
Author_Institution :
Dept. ESAI, Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
6
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
3203
Abstract :
Analysis of respiratory sounds is a promising technique that could improve results obtained by classical spirometry. Spectral characteristics of respiratory sounds, during forced expiration manoeuvres, have been studied for asthma patients and normal subjects in order to assess the response to a bronchodilator, Sound signals have been analysed for different airflow levels. An autoregressive model (order 16) has been used and 3 spectral parameters were calculated: central frequency (Fc), central frequency in the range 300-2500 Hz (Fc*) and power ratio at 300 Hz (R300). The initial variability of this protocol was reduced by means of a threshold criterion, based on R300 ratio, which rejected episodes where contribution of wheezing was not relevant. Frequency components related only to wheezing did not change during this protocol. Analysis of main frequency of wheezing, by means of parameter Fc*, seems not to be appropriated to assess the bronchodilatador effect. Analysis of low and high frequency distribution of respiratory sound spectrum was performed using the Fc parameter. The drug effect was assessed in the asthmatic group and significant decreasing of Fc was observed. No significant variations were found for the control group
Keywords :
acoustic signal processing; autoregressive processes; bioacoustics; medical signal processing; patient monitoring; pneumodynamics; spectral analysis; asthmatic patients; autoregressive model; bronchodilator effect; central frequency; different airflow levels; drug effect; forced expiration manoeuvres; high frequency distribution; low frequency distribution; power ratio; respiratory sounds; spectral analysis; threshold criterion; tidal volumes; wheezing frequency; Acoustic measurements; Diseases; Drugs; Frequency; Hospitals; Pathology; Performance analysis; Protocols; Signal analysis; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.746175
Filename :
746175
Link To Document :
بازگشت