Feature Extraction of Upper Airway Dynamics during Sleep Apnea using Electrical Impedance Tomography Article Swipe
Ghazal Ayoub
,
Thi Hang Dang
,
Tong In Oh
,
Sang‐Wook Kim
,
Eung Je Woo
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-58450-4
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-58450-4
Characterizing upper airway occlusion during natural sleep could be instrumental for studying the dynamics of sleep apnea and designing an individualized treatment plan. In recent years, obstructive sleep apnea (OSA) phenotyping has gained attention to classify OSA patients into relevant therapeutic categories. Electrical impedance tomography (EIT) has been lately suggested as a technique for noninvasive continuous monitoring of the upper airway during natural sleep. In this paper, we developed the automatic data processing and feature extract methods to handle acquired EIT data for several hours. Removing ventilation and blood flow artifacts, EIT images were reconstructed to visualize how the upper airway collapsed and reopened during the respiratory event. From the time series of reconstructed EIT images, we extracted the upper airway closure signal providing quantitative information about how much the upper airway was closed during collapse and reopening. Features of the upper airway dynamics were defined from the extracted upper airway closure signal and statistical analyses of ten OSA patients’ data were conducted. The results showed the feasibility of the new method to describe the upper airway dynamics during sleep apnea, which could be a new step towards OSA phenotyping and treatment planning.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-020-58450-4
- https://www.nature.com/articles/s41598-020-58450-4.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3003577409
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- OpenAlex ID
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https://openalex.org/W3003577409Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-020-58450-4Digital Object Identifier
- Title
-
Feature Extraction of Upper Airway Dynamics during Sleep Apnea using Electrical Impedance TomographyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-31Full publication date if available
- Authors
-
Ghazal Ayoub, Thi Hang Dang, Tong In Oh, Sang‐Wook Kim, Eung Je WooList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-020-58450-4Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-020-58450-4.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-020-58450-4.pdfDirect OA link when available
- Concepts
-
Electrical impedance tomography, Airway, Obstructive sleep apnea, Sleep apnea, Medicine, Apnea, Sleep (system call), Feature (linguistics), Breathing, Computer science, Pattern recognition (psychology), Tomography, Artificial intelligence, Radiology, Anesthesia, Philosophy, Linguistics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2, 2022: 6, 2021: 4Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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