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A Mobile Cough Strength Evaluation Device Using Cough Sounds

https://hiroshima.repo.nii.ac.jp/records/2008822
https://hiroshima.repo.nii.ac.jp/records/2008822
4d84faf7-99f6-4040-9b42-f10f802dd670
名前 / ファイル ライセンス アクション
Sensors_18_3810.pdf Sensors_18_3810.pdf (4.3 MB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル A Mobile Cough Strength Evaluation Device Using Cough Sounds
言語 en
作成者 Umayahara, Yasutaka

× Umayahara, Yasutaka

en Umayahara, Yasutaka

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Soh, Zu

× Soh, Zu

en Soh, Zu

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Sekikawa, Kiyokazu

× Sekikawa, Kiyokazu

en Sekikawa, Kiyokazu

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Kawae, Toshihiro

× Kawae, Toshihiro

en Kawae, Toshihiro

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Otsuka, Akira

× Otsuka, Akira

en Otsuka, Akira

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Tsuji, Toshio

× Tsuji, Toshio

en Tsuji, Toshio

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 © 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/).
主題
主題Scheme Other
主題 cough strength
主題
主題Scheme Other
主題 cough sound
主題
主題Scheme Other
主題 cough peak flow
主題
主題Scheme Other
主題 mobile device
主題
主題Scheme Other
主題 iOS
内容記述
内容記述 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.
言語 en
内容記述
内容記述タイプ Other
内容記述 This work was supported by JSPS KAKENHI, grant number 16K16475.
出版者
出版者 MDPI
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
関連情報
識別子タイプ DOI
関連識別子 10.3390/s18113810
関連情報
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/s18113810
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1424-8220
開始ページ
開始ページ 3810
書誌情報 Sensors
Sensors

巻 18, 号 11, p. 3810, 発行日 2018-11-07
旧ID 48713
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