OpenHSV: an open platform for laryngeal high-speed videoendoscopy

Abstract High-speed videoendoscopy is an important tool to study laryngeal dynamics, to quantify vocal fold oscillations, to diagnose voice impairments at laryngeal level and to monitor treatment progress. However, there is a significant lack of an open source, expandable research tool that features...

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Autores principales:	Andreas M. Kist, Stephan Dürr, Anne Schützenberger, Michael Döllinger
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7246be3aad1f4271934900a616afe39b
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spelling	oai:doaj.org-article:7246be3aad1f4271934900a616afe39b2021-12-02T16:10:36ZOpenHSV: an open platform for laryngeal high-speed videoendoscopy10.1038/s41598-021-93149-02045-2322https://doaj.org/article/7246be3aad1f4271934900a616afe39b2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93149-0https://doaj.org/toc/2045-2322Abstract High-speed videoendoscopy is an important tool to study laryngeal dynamics, to quantify vocal fold oscillations, to diagnose voice impairments at laryngeal level and to monitor treatment progress. However, there is a significant lack of an open source, expandable research tool that features latest hardware and data analysis. In this work, we propose an open research platform termed OpenHSV that is based on state-of-the-art, commercially available equipment and features a fully automatic data analysis pipeline. A publicly available, user-friendly graphical user interface implemented in Python is used to interface the hardware. Video and audio data are recorded in synchrony and are subsequently fully automatically analyzed. Video segmentation of the glottal area is performed using efficient deep neural networks to derive glottal area waveform and glottal midline. Established quantitative, clinically relevant video and audio parameters were implemented and computed. In a preliminary clinical study, we recorded video and audio data from 28 healthy subjects. Analyzing these data in terms of image quality and derived quantitative parameters, we show the applicability, performance and usefulness of OpenHSV. Therefore, OpenHSV provides a valid, standardized access to high-speed videoendoscopy data acquisition and analysis for voice scientists, highlighting its use as a valuable research tool in understanding voice physiology. We envision that OpenHSV serves as basis for the next generation of clinical HSV systems.Andreas M. KistStephan DürrAnne SchützenbergerMichael DöllingerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andreas M. Kist Stephan Dürr Anne Schützenberger Michael Döllinger OpenHSV: an open platform for laryngeal high-speed videoendoscopy
description	Abstract High-speed videoendoscopy is an important tool to study laryngeal dynamics, to quantify vocal fold oscillations, to diagnose voice impairments at laryngeal level and to monitor treatment progress. However, there is a significant lack of an open source, expandable research tool that features latest hardware and data analysis. In this work, we propose an open research platform termed OpenHSV that is based on state-of-the-art, commercially available equipment and features a fully automatic data analysis pipeline. A publicly available, user-friendly graphical user interface implemented in Python is used to interface the hardware. Video and audio data are recorded in synchrony and are subsequently fully automatically analyzed. Video segmentation of the glottal area is performed using efficient deep neural networks to derive glottal area waveform and glottal midline. Established quantitative, clinically relevant video and audio parameters were implemented and computed. In a preliminary clinical study, we recorded video and audio data from 28 healthy subjects. Analyzing these data in terms of image quality and derived quantitative parameters, we show the applicability, performance and usefulness of OpenHSV. Therefore, OpenHSV provides a valid, standardized access to high-speed videoendoscopy data acquisition and analysis for voice scientists, highlighting its use as a valuable research tool in understanding voice physiology. We envision that OpenHSV serves as basis for the next generation of clinical HSV systems.
format	article
author	Andreas M. Kist Stephan Dürr Anne Schützenberger Michael Döllinger
author_facet	Andreas M. Kist Stephan Dürr Anne Schützenberger Michael Döllinger
author_sort	Andreas M. Kist
title	OpenHSV: an open platform for laryngeal high-speed videoendoscopy
title_short	OpenHSV: an open platform for laryngeal high-speed videoendoscopy
title_full	OpenHSV: an open platform for laryngeal high-speed videoendoscopy
title_fullStr	OpenHSV: an open platform for laryngeal high-speed videoendoscopy
title_full_unstemmed	OpenHSV: an open platform for laryngeal high-speed videoendoscopy
title_sort	openhsv: an open platform for laryngeal high-speed videoendoscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7246be3aad1f4271934900a616afe39b
work_keys_str_mv	AT andreasmkist openhsvanopenplatformforlaryngealhighspeedvideoendoscopy AT stephandurr openhsvanopenplatformforlaryngealhighspeedvideoendoscopy AT anneschutzenberger openhsvanopenplatformforlaryngealhighspeedvideoendoscopy AT michaeldollinger openhsvanopenplatformforlaryngealhighspeedvideoendoscopy
_version_	1718384416775995392

OpenHSV: an open platform for laryngeal high-speed videoendoscopy

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