A Mobile Cough Strength Evaluation Device Using Cough Sounds
Autor: | Akira Otsuka, Toshihiro Kawae, Toshio Tsuji, Zu Soh, Yasutaka Umayahara, Kiyokazu Sekikawa |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Systematic error
Adult Male medicine.medical_specialty iOS cough strength cough peak flow mobile device Audiology lcsh:Chemical technology Biochemistry Article 007.64 Analytical Chemistry 03 medical and health sciences 493.3 0302 clinical medicine medicine Humans lcsh:TP1-1185 Electrical and Electronic Engineering 030223 otorhinolaryngology Instrumentation Aged Aged 80 and over business.industry Acoustics Atomic and Molecular Physics and Optics respiratory tract diseases Clinical Practice Sound Cough Spirometry Female cough sound business 030217 neurology & neurosurgery |
Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 18 Issue 11 Sensors, Vol 18, Iss 11, p 3810 (2018) |
ISSN: | 1424-8220 |
Popis: | 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. |
Databáze: | OpenAIRE |
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