EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life

Yincheng Jin; Yang Gao; Xiaotao Guo; Jun Wen; Zhengxiong Li; Zhanpeng Jin

doi:10.1145/3498361.3538935

EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life

Yincheng Jin
, Yang Gao
, Xiaotao Guo
, Jun Wen
, Zhengxiong Li
, Zhanpeng Jin^*

^*Corresponding author for this work

SUNY Buffalo
Northwestern University
Otolaryngology-Head and Neck Surgery
Harvard University
University of Colorado Denver

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

35 Scopus citations

Abstract

With the aging of the population and the long-time wearing of earphones, hearing health has gradually emerged as a worldwide health issue. Early detection of hearing health conditions would greatly reduce potential risks with timely medical intervention. This study proposes an earphone-based ear condition monitoring system, named EarHealth, which is low-cost, non-invasive, and easily usable in daily life. It can detect three major hearing health conditions: ruptured eardrum, earwax buildup and blockage, and otitis media. By analyzing the recorded echoes evoked by a chirp sound stimulus, EarHealth recognizes the distinguishable characteristics from ear canal structure and eardrum mobility. EarHealth achieves an accuracy of 82.6% in 92 human subjects, including 27 normal subjects, 22 patients with ruptured eardrum, 25 patients with otitis media, and 18 patients with earwax blockage. EarHealth is the first earphone-based system capable of monitoring hearing health conditions by utilizing the ear canal geometry and eardrum mobility. It is anticipated that EarHealth would provide pervasive and proactive protection for hearing health.

Original language	English
Title of host publication	MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services
Publisher	Association for Computing Machinery, Inc
Pages	397-408
Number of pages	12
ISBN (Electronic)	9781450391856
DOIs	https://doi.org/10.1145/3498361.3538935
State	Published - 27 Jun 2022
Externally published	Yes
Event	20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 - Portland, United States Duration: 27 Jun 2022 → 1 Jul 2022

Publication series

Name	MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services

Conference

Conference	20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022
Country/Territory	United States
City	Portland
Period	27/06/22 → 1/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

acoustic sensing
ear canal
ear disease
eardrum mobility
earphone

Access to Document

10.1145/3498361.3538935

Cite this

Jin, Y., Gao, Y., Guo, X., Wen, J., Li, Z., & Jin, Z. (2022). EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. In MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services (pp. 397-408). (MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services). Association for Computing Machinery, Inc. https://doi.org/10.1145/3498361.3538935

Jin, Yincheng ; Gao, Yang ; Guo, Xiaotao et al. / EarHealth : An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services. Association for Computing Machinery, Inc, 2022. pp. 397-408 (MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services).

@inproceedings{8d8d384b1f9d4e21ac512e554bf3ff0f,

title = "EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life",

abstract = "With the aging of the population and the long-time wearing of earphones, hearing health has gradually emerged as a worldwide health issue. Early detection of hearing health conditions would greatly reduce potential risks with timely medical intervention. This study proposes an earphone-based ear condition monitoring system, named EarHealth, which is low-cost, non-invasive, and easily usable in daily life. It can detect three major hearing health conditions: ruptured eardrum, earwax buildup and blockage, and otitis media. By analyzing the recorded echoes evoked by a chirp sound stimulus, EarHealth recognizes the distinguishable characteristics from ear canal structure and eardrum mobility. EarHealth achieves an accuracy of 82.6\% in 92 human subjects, including 27 normal subjects, 22 patients with ruptured eardrum, 25 patients with otitis media, and 18 patients with earwax blockage. EarHealth is the first earphone-based system capable of monitoring hearing health conditions by utilizing the ear canal geometry and eardrum mobility. It is anticipated that EarHealth would provide pervasive and proactive protection for hearing health.",

keywords = "acoustic sensing, ear canal, ear disease, eardrum mobility, earphone",

author = "Yincheng Jin and Yang Gao and Xiaotao Guo and Jun Wen and Zhengxiong Li and Zhanpeng Jin",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 ; Conference date: 27-06-2022 Through 01-07-2022",

year = "2022",

month = jun,

day = "27",

doi = "10.1145/3498361.3538935",

language = "英语",

series = "MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services",

publisher = "Association for Computing Machinery, Inc",

pages = "397--408",

booktitle = "MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services",

}

Jin, Y, Gao, Y, Guo, X, Wen, J, Li, Z & Jin, Z 2022, EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. in MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services. MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services, Association for Computing Machinery, Inc, pp. 397-408, 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022, Portland, United States, 27/06/22. https://doi.org/10.1145/3498361.3538935

EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. / Jin, Yincheng; Gao, Yang; Guo, Xiaotao et al.
MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services. Association for Computing Machinery, Inc, 2022. p. 397-408 (MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - EarHealth

T2 - 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022

AU - Jin, Yincheng

AU - Gao, Yang

AU - Guo, Xiaotao

AU - Wen, Jun

AU - Li, Zhengxiong

AU - Jin, Zhanpeng

PY - 2022/6/27

Y1 - 2022/6/27

N2 - With the aging of the population and the long-time wearing of earphones, hearing health has gradually emerged as a worldwide health issue. Early detection of hearing health conditions would greatly reduce potential risks with timely medical intervention. This study proposes an earphone-based ear condition monitoring system, named EarHealth, which is low-cost, non-invasive, and easily usable in daily life. It can detect three major hearing health conditions: ruptured eardrum, earwax buildup and blockage, and otitis media. By analyzing the recorded echoes evoked by a chirp sound stimulus, EarHealth recognizes the distinguishable characteristics from ear canal structure and eardrum mobility. EarHealth achieves an accuracy of 82.6% in 92 human subjects, including 27 normal subjects, 22 patients with ruptured eardrum, 25 patients with otitis media, and 18 patients with earwax blockage. EarHealth is the first earphone-based system capable of monitoring hearing health conditions by utilizing the ear canal geometry and eardrum mobility. It is anticipated that EarHealth would provide pervasive and proactive protection for hearing health.

AB - With the aging of the population and the long-time wearing of earphones, hearing health has gradually emerged as a worldwide health issue. Early detection of hearing health conditions would greatly reduce potential risks with timely medical intervention. This study proposes an earphone-based ear condition monitoring system, named EarHealth, which is low-cost, non-invasive, and easily usable in daily life. It can detect three major hearing health conditions: ruptured eardrum, earwax buildup and blockage, and otitis media. By analyzing the recorded echoes evoked by a chirp sound stimulus, EarHealth recognizes the distinguishable characteristics from ear canal structure and eardrum mobility. EarHealth achieves an accuracy of 82.6% in 92 human subjects, including 27 normal subjects, 22 patients with ruptured eardrum, 25 patients with otitis media, and 18 patients with earwax blockage. EarHealth is the first earphone-based system capable of monitoring hearing health conditions by utilizing the ear canal geometry and eardrum mobility. It is anticipated that EarHealth would provide pervasive and proactive protection for hearing health.

KW - acoustic sensing

KW - ear canal

KW - ear disease

KW - eardrum mobility

KW - earphone

UR - https://www.scopus.com/pages/publications/85134081190

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DO - 10.1145/3498361.3538935

M3 - 会议稿件

AN - SCOPUS:85134081190

T3 - MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services

SP - 397

EP - 408

BT - MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services

PB - Association for Computing Machinery, Inc

Y2 - 27 June 2022 through 1 July 2022

ER -

Jin Y, Gao Y, Guo X, Wen J, Li Z, Jin Z. EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. In MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services. Association for Computing Machinery, Inc. 2022. p. 397-408. (MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services). doi: 10.1145/3498361.3538935

EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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