Evaluation of mel-frequency cepstrum for wheeze analysis
File(s)
Author(s)
Pramono, Renard Xaviero Adhi
Imtiaz, Syed Anas
Rodriguez-Villegas, Esther
Type
Conference Paper
Abstract
Monitoring of wheezes is an integral part of managing Chronic Respiratory Diseases such as asthma and Chronic Obstructive Pulmonary Disease (COPD). Recently, there is a growing interest in automatic detection of wheezes and the use of Mel-Frequency Cepstral Coefficients (MFCC) have been shown to achieve encouraging detection performance. While the successful use of MFCC for identifying wheezes has been demonstrated, it is not clear which MFCC coefficients are actually useful for detecting wheezes. The objective of this paper is to characterize and study the effectiveness of individual coefficients in discriminating between wheezes and normal respiratory sounds. The coefficients have been evaluated in terms of histogram dissimilarity and linear separability. Further, a comparison between the use of single coefficient against other combinations of coefficients is also presented. The results demonstrate MFCC-2 coefficient to be significantly more effective than all the other coefficients in discriminating between wheezes and normal respiratory sounds sampled at 8000 Hz.
Date Issued
2019-10-07
Date Acceptance
2019-05-14
Citation
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp.4686-4689
ISSN
1557-170X
Publisher
IEEE
Start Page
4686
End Page
4689
Journal / Book Title
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31946908
Grant Number
EP/P009794/1
Source
Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE
Publication Status
Published
Start Date
2019-07-23
Finish Date
2019-07-27
Coverage Spatial
Berlin, Germany
Date Publish Online
2019-10-07