A Mobile Cough Strength Evaluation Device Using Cough Sounds
Sensors Volume 18 Issue 11
Page 3810-
published_at 2018-11-07
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Title ( eng ) |
A Mobile Cough Strength Evaluation Device Using Cough Sounds
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Creator |
Umayahara Yasutaka
Kawae Toshihiro
Otsuka Akira
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Source Title |
Sensors
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Volume | 18 |
Issue | 11 |
Start Page | 3810 |
Abstract |
Although cough peak flow (CPF) is an important measurement for evaluating the risk of cough dysfunction, some patients cannot use conventional measurement instruments, such as spirometers, because of the configurational burden of the instruments. Therefore, we previously developed a cough strength estimation method using cough sounds based on a simple acoustic and aerodynamic model. However, the previous model did not consider age or have a user interface for practical application. This study clarifies the cough strength prediction accuracy using an improved model in young and elderly participants. Additionally, a user interface for mobile devices was developed to record cough sounds and estimate cough strength using the proposed method. We then performed experiments on 33 young participants (21.3 ± 0.4 years) and 25 elderly participants (80.4 ± 6.1 years) to test the effect of age on the CPF estimation accuracy. The percentage error between the measured and estimated CPFs was approximately 6.19%. In addition, among the elderly participants, the current model improved the estimation accuracy of the previous model by a percentage error of approximately 6.5% (p < 0.001). Furthermore, Bland-Altman analysis demonstrated no systematic error between the measured and estimated CPFs. These results suggest that the developed device can be applied for daily CPF measurements in clinical practice.
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Keywords |
cough strength
cough sound
cough peak flow
mobile device
iOS
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Descriptions |
This work was supported by JSPS KAKENHI, grant number 16K16475.
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Language |
eng
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Resource Type | journal article |
Publisher |
MDPI
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Date of Issued | 2018-11-07 |
Rights |
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Publish Type | Version of Record |
Access Rights | open access |
Source Identifier |
[ISSN] 1424-8220
[DOI] 10.3390/s18113810
[DOI] https://doi.org/10.3390/s18113810
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