Theory and Application of Audio-Based Assessment of Cough
Joint Authors
Cai, Maolin
Xu, Weiqing
Shi, Y.
Liu, He
Shi, Yan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Cough is a common symptom of many respiratory diseases.
Many medical literatures underline that a system for the automatic, objective, and reliable detection of cough events is important and very promising to detect pathology severity in chronic cough disease.
In order to track the development status of an audio-based cough monitoring system, we briefly described the history of objective cough detection and then illustrated the cough sound generating principle.
The probable endpoints of cough clinical studies, including cough frequency, intensity of coughing, and acoustic properties of cough sound, were analyzed in this paper.
Finally, we introduce some successful cough monitoring equipment and their recognition algorithm in detail.
It can be obtained that, firstly, acoustic variability of cough sounds within and between individuals makes it difficult to assess the intensity of coughing.
Furthermore, now great progress in audio-based cough detection is being made.
Moreover, accurate portable objective monitoring systems will be available and widely used in home care and clinical trials in the near future.
American Psychological Association (APA)
Shi, Y.& Liu, He& Shi, Yan& Cai, Maolin& Xu, Weiqing. 2018. Theory and Application of Audio-Based Assessment of Cough. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1202343
Modern Language Association (MLA)
Shi, Y.…[et al.]. Theory and Application of Audio-Based Assessment of Cough. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1202343
American Medical Association (AMA)
Shi, Y.& Liu, He& Shi, Yan& Cai, Maolin& Xu, Weiqing. Theory and Application of Audio-Based Assessment of Cough. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1202343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202343