Estimation of Cough Peak Flow Using Cough Sounds

URI http://harp.lib.hiroshima-u.ac.jp/hcu/metadata/73
File
Title
Estimation of Cough Peak Flow Using Cough Sounds
Author
氏名 馬屋原 康高
ヨミ ウマヤハラ ヤスタカ
別名 Umayahara Yasutaka
氏名 曽 智
ヨミ ソウ ズ
別名 Sou Zu
氏名 関川 清一
ヨミ セキカワ キヨカズ
別名 Sekikawa Kiyokazu
氏名 河江 敏広
ヨミ カワエ トシヒロ
別名 Kawae Toshihiro
氏名 大塚 彰
ヨミ オオツカ アキラ
別名 Otsuka Akira
氏名 辻 敏夫
ヨミ ツジ トシオ
別名 Tsuji TOSHIO
Subject
cough sound
cough peak flow
microphone
cough ability
cough strength
in-ear microphone
smartphone
NDC
493.3
Abstract

Cough peak flow (CPF) is a measurement for evaluating 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.

Description Peer Reviewed
Journal Title
Sensors
Volume
18
Issue
7
Spage
2381(1)
Epage
2381(13)
Published Date
2018-07-22
Publisher
MDPI AG
ISSN
1424-8220
DOI
10.3390/s18072381
Language
eng
NIIType
Journal Article
Text Version
著者版
Rights
(C)MDPI AG
Set
hcu