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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-93149-0 |
| _version_ | 1828971256401100800 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T13:06:51Z |
| format | Article |
| id | doaj.art-7246be3aad1f4271934900a616afe39b |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T13:06:51Z |
| publishDate | 2021-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-7246be3aad1f4271934900a616afe39b2022-12-21T23:00:18ZengNature PortfolioScientific Reports2045-23222021-07-0111111210.1038/s41598-021-93149-0OpenHSV: an open platform for laryngeal high-speed videoendoscopyAndreas M. Kist0Stephan Dürr1Anne Schützenberger2Michael Döllinger3Division of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-NürnbergDivision of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-NürnbergDivision of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-NürnbergDivision of Phoniatrics and Pediatric Audiology, Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-NürnbergAbstract 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.https://doi.org/10.1038/s41598-021-93149-0 |
| spellingShingle | Andreas M. Kist Stephan Dürr Anne Schützenberger Michael Döllinger OpenHSV: an open platform for laryngeal high-speed videoendoscopy Scientific Reports |
| title | 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_short | OpenHSV: an open platform for laryngeal high-speed videoendoscopy |
| title_sort | openhsv an open platform for laryngeal high speed videoendoscopy |
| url | https://doi.org/10.1038/s41598-021-93149-0 |
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