Sample Entropy of Transient Evoked Otoacoustic Emission: A New Approach for Diagnosis of Meniere's Disease

Jui Fang; Yi-Wen Liu; Yi-Wen Chen; Tzu-Ching Shih; Chun-Hsu Yao; Chon-Haw Tsai; Richard S Tyler

doi:10.1109/BIBE55377.2022.00021

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Sample Entropy of Transient Evoked Otoacoustic Emission: A New Approach for Diagnosis of Meniere's Disease

Jui Fang, Yi-Wen Liu, Yi-Wen Chen, Tzu-Ching Shih, Chun-Hsu Yao, Chon-Haw Tsai and Richard S Tyler

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings

01/01/2022

DOI: 10.1109/BIBE55377.2022.00021

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Abstract

Conference Title: 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE) Conference Start Date: 2022, Nov. 7 Conference End Date: 2022, Nov. 9 Conference Location: Taichung, TaiwanThe most accredited mechanisms of Meniere's disease (MD) and related frequency components reduction of transient evoked otoacoustic emission (TEOAE) are dysfunctions of outer hair cells. The clinical TEOAE parameters lack quantitative physiological information. This study explored the feasibility of sample entropy (SampEn) of TEAOE for quantitative diagnosis of MD based on frequency components reduction. Nineteen normal (38 ears) and 40 (40 ears) unilateral definitive MD participants were recruited. Based on combinations of different data size $N$ , template length $m$ and similarity tolerance $r$ , TEOAE SampEn were estimated. The results showed that TEOAE SampEn using the parameters of ( $N=772,\ m=2,\ r=0.2$ ) resulted in the maximum area under receiver operating characteristic curve = 0.7982 in diagnosing MD. TEOAE SampEn provides a good diagnostic performance and demonstrates a great potential for understanding physiology of MD.

Bioengineering

Bioinformatics

Diagnosis

Ear

Entropy

Feasibility studies

Meniere disease

Parameters

Reduction

Details

Title: Subtitle: Sample Entropy of Transient Evoked Otoacoustic Emission: A New Approach for Diagnosis of Meniere's Disease
Creators: Jui Fang
Yi-Wen Liu
Yi-Wen Chen
Tzu-Ching Shih
Chun-Hsu Yao
Chon-Haw Tsai
Richard S Tyler
Resource Type: Conference proceeding
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
DOI: 10.1109/BIBE55377.2022.00021
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Language: English
Date published: 01/01/2022
Academic Unit: Communication Sciences and Disorders; Otolaryngology; University College Courses
Record Identifier: 9984339459402771

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