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A Mobile Cough Strength Evaluation Device Using Cough Sounds

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 e...

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Autores principales: Umayahara, Yasutaka, Soh, Zu, Sekikawa, Kiyokazu, Kawae, Toshihiro, Otsuka, Akira, Tsuji, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263407/
https://www.ncbi.nlm.nih.gov/pubmed/30405015
http://dx.doi.org/10.3390/s18113810
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author Umayahara, Yasutaka
Soh, Zu
Sekikawa, Kiyokazu
Kawae, Toshihiro
Otsuka, Akira
Tsuji, Toshio
author_facet Umayahara, Yasutaka
Soh, Zu
Sekikawa, Kiyokazu
Kawae, Toshihiro
Otsuka, Akira
Tsuji, Toshio
author_sort Umayahara, Yasutaka
collection PubMed
description 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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spelling pubmed-62634072018-12-12 A Mobile Cough Strength Evaluation Device Using Cough Sounds Umayahara, Yasutaka Soh, Zu Sekikawa, Kiyokazu Kawae, Toshihiro Otsuka, Akira Tsuji, Toshio Sensors (Basel) Article 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. MDPI 2018-11-07 /pmc/articles/PMC6263407/ /pubmed/30405015 http://dx.doi.org/10.3390/s18113810 Text en © 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/).
spellingShingle Article
Umayahara, Yasutaka
Soh, Zu
Sekikawa, Kiyokazu
Kawae, Toshihiro
Otsuka, Akira
Tsuji, Toshio
A Mobile Cough Strength Evaluation Device Using Cough Sounds
title A Mobile Cough Strength Evaluation Device Using Cough Sounds
title_full A Mobile Cough Strength Evaluation Device Using Cough Sounds
title_fullStr A Mobile Cough Strength Evaluation Device Using Cough Sounds
title_full_unstemmed A Mobile Cough Strength Evaluation Device Using Cough Sounds
title_short A Mobile Cough Strength Evaluation Device Using Cough Sounds
title_sort mobile cough strength evaluation device using cough sounds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263407/
https://www.ncbi.nlm.nih.gov/pubmed/30405015
http://dx.doi.org/10.3390/s18113810
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