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A Mobile Cough Strength Evaluation Device Using Cough Sounds

机译:一种使用咳嗽声的移动咳嗽强度评估装置

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摘要

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.
机译:虽然咳嗽峰流量(CPF)是评估咳嗽功能障碍风险的重要测量,但有些患者由于仪器的配置负担,有些患者不能使用传统的测量仪器,例如螺旋仪。因此,我们之前使用基于简单的声学和空气动力学模型的咳嗽声的咳嗽强度估算方法。但是,之前的模型没有考虑年龄或具有用于实际应用的用户界面。本研究阐明了使用年轻和老年人参与者的改进模型来阐明咳嗽强度预测精度。另外,开发了一种用于移动设备的用户界面以使用所提出的方法记录咳嗽声音并估计咳嗽强度。然后我们在33名年轻参与者(21.3±0.4岁)和25名老年参与者(80.4±6.1岁)上进行了实验,以测试年龄对CPF估计准确性的效果。测量和估计的CPF之间的百分比误差约为6.19%。此外,在老年人参与者中,目前的模型将先前模型的估计精度提高了约6.5%的百分比误差(P <0.001)。此外,Bland-Altman分析在测量和估计的CPF之间没有显示系统误差。这些结果表明,开发装置可以应用于临床实践中的每日CPF测量。

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