Preprint Article Version 1 This version is not peer-reviewed

Estimation of Cough Peak Flow Using Cough Sounds

Version 1 : Received: 8 June 2018 / Approved: 8 June 2018 / Online: 8 June 2018 (13:45:14 CEST)

A peer-reviewed article of this Preprint also exists.

Umayahara, Y.; Soh, Z.; Sekikawa, K.; Kawae, T.; Otsuka, A.; Tsuji, T. Estimation of Cough Peak Flow Using Cough Sounds. Sensors 2018, 18, 2381. Umayahara, Y.; Soh, Z.; Sekikawa, K.; Kawae, T.; Otsuka, A.; Tsuji, T. Estimation of Cough Peak Flow Using Cough Sounds. Sensors 2018, 18, 2381.

Journal reference: Sensors 2018, 18, 2381
DOI: 10.3390/s18072381

Abstract

Cough peak flow (CPF) is a measurement to evaluate the risk of cough dysfunction and can be measured using various devices, such as spirometers. However, complex device setup and the face mask required to be firmly attached to the mouth impose burdens on both patients and their caregivers. Therefore, this study develops a novel cough strength evaluation method using cough sounds. This paper presents an exponential model to estimate CPF from the cough peak sound pressure level (CPSL). We investigated the relationship between cough sounds and cough flows and the effects of a measurement condition of cough sound, microphone type, and participant’s height and gender on CPF estimation accuracy. The results confirmed that the proposed model estimated CPF with a high accuracy. The absolute error between CPFs and estimated CPFs were significantly lower when the microphone distance from the participant’s mouth was within 30 cm than when the distance exceeded 30 cm. Analysis of the model parameters showed that the estimation accuracy was not affected by participant’s height or gender. These results indicate that the proposed model has the potential to improve the feasibility of measuring and assessing CPF.

Subject Areas

cough sound; cough peak flow; microphone; cough ability; cough strength; bone conduction microphone; smartphone

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