Laryngeal Imaging Study of Glottal Attack/Offset Time in Adductor Spasmodic Dysphonia during Connected Speech

Author:

Naghibolhosseini Maryam1ORCID,Zacharias Stephanie R. C.23,Zenas Sarah4,Levesque Farrah5,Deliyski Dimitar D.1

Affiliation:

1. Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, MI 48824, USA

2. Head and Neck Regenerative Medicine Program, Mayo Clinic, Scottsdale, AZ 85259, USA

3. Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, AZ 85054, USA

4. Lyman Briggs College, Michigan State University, East Lansing, MI 48825, USA

5. Warrington College of Business, University of Florida, Gainesville, FL 32611, USA

Abstract

Adductor spasmodic dysphonia (AdSD) disrupts laryngeal muscle control during speech and, therefore, affects the onset and offset of phonation. In this study, the goal is to use laryngeal high-speed videoendoscopy (HSV) to measure the glottal attack time (GAT) and glottal offset time (GOT) during connected speech for normophonic (vocally normal) and AdSD voices. A monochrome HSV system was used to record readings of six CAPE-V sentences and part of the “Rainbow Passage” from the participants. Three raters visually analyzed the HSV data using a playback software to measure the GAT and GOT. The results show that the GAT was greater in the AdSD group than in the normophonic group; however, the clinical significance of the amount of this difference needs to be studied further. More variability was observed in both GATs and GOTs of the disorder group. Additionally, the GAT and GOT time series were found to be nonstationary for the AdSD group while they were stationary for the normophonic voices. This study shows that the GAT and GOT measures can be potentially used as objective markers to characterize AdSD. The findings will potentially help in the development of standardized measures for voice evaluation and the accurate diagnosis of AdSD.

Funder

National Institutes of Health (NIH) National Institute on Deafness and Other Communication Disorders

Michigan State University

Trifecta Initiative Matching Funds Award

Sandi Smith Fellowship, Michigan State University Health and Risk Communication Center

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Special Issue on Current Trends and Future Directions in Voice Acoustics Measurement;Applied Sciences;2023-03-09

2. Deep Learning for High-Speed Laryngeal Imaging Analysis;2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE);2023-03-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3