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Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar

While full-night polysomnography is the gold standard for the diagnosis of obstructive sleep apnea, its limitations include a high cost and first-night effects. This study developed an algorithm for the detection of respiratory events based on impulse-radio ultra-wideband radar and verified its feas...

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Autores principales: Kang, Sun, Kim, Dong-Kyu, Lee, Yonggu, Lim, Young-Hyo, Park, Hyun-Kyung, Cho, Sung Ho, Cho, Seok Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093464/
https://www.ncbi.nlm.nih.gov/pubmed/32210266
http://dx.doi.org/10.1038/s41598-020-62061-4
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author Kang, Sun
Kim, Dong-Kyu
Lee, Yonggu
Lim, Young-Hyo
Park, Hyun-Kyung
Cho, Sung Ho
Cho, Seok Hyun
author_facet Kang, Sun
Kim, Dong-Kyu
Lee, Yonggu
Lim, Young-Hyo
Park, Hyun-Kyung
Cho, Sung Ho
Cho, Seok Hyun
author_sort Kang, Sun
collection PubMed
description While full-night polysomnography is the gold standard for the diagnosis of obstructive sleep apnea, its limitations include a high cost and first-night effects. This study developed an algorithm for the detection of respiratory events based on impulse-radio ultra-wideband radar and verified its feasibility for the diagnosis of obstructive sleep apnea. A total of 94 subjects were enrolled in this study (23 controls and 24, 14, and 33 with mild, moderate, and severe obstructive sleep apnea, respectively). Abnormal breathing detected by impulse-radio ultra-wideband radar was defined as a drop in the peak radar signal by ≥30% from that in the pre-event baseline. We compared the abnormal breathing index obtained from impulse-radio ultra-wideband radar and apnea–hypopnea index (AHI) measured from polysomnography. There was an excellent agreement between the Abnormal Breathing Index and AHI (intraclass correlation coefficient = 0.927). The overall agreements of the impulse-radio ultra-wideband radar were 0.93 for Model 1 (AHI ≥ 5), 0.91 for Model 2 (AHI ≥ 15), and 1 for Model 3 (AHI ≥ 30). Impulse-radio ultra-wideband radar accurately detected respiratory events (apneas and hypopneas) during sleep without subject contact. Therefore, impulse-radio ultra-wideband radar may be used as a screening tool for obstructive sleep apnea.
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spelling pubmed-70934642020-03-27 Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar Kang, Sun Kim, Dong-Kyu Lee, Yonggu Lim, Young-Hyo Park, Hyun-Kyung Cho, Sung Ho Cho, Seok Hyun Sci Rep Article While full-night polysomnography is the gold standard for the diagnosis of obstructive sleep apnea, its limitations include a high cost and first-night effects. This study developed an algorithm for the detection of respiratory events based on impulse-radio ultra-wideband radar and verified its feasibility for the diagnosis of obstructive sleep apnea. A total of 94 subjects were enrolled in this study (23 controls and 24, 14, and 33 with mild, moderate, and severe obstructive sleep apnea, respectively). Abnormal breathing detected by impulse-radio ultra-wideband radar was defined as a drop in the peak radar signal by ≥30% from that in the pre-event baseline. We compared the abnormal breathing index obtained from impulse-radio ultra-wideband radar and apnea–hypopnea index (AHI) measured from polysomnography. There was an excellent agreement between the Abnormal Breathing Index and AHI (intraclass correlation coefficient = 0.927). The overall agreements of the impulse-radio ultra-wideband radar were 0.93 for Model 1 (AHI ≥ 5), 0.91 for Model 2 (AHI ≥ 15), and 1 for Model 3 (AHI ≥ 30). Impulse-radio ultra-wideband radar accurately detected respiratory events (apneas and hypopneas) during sleep without subject contact. Therefore, impulse-radio ultra-wideband radar may be used as a screening tool for obstructive sleep apnea. Nature Publishing Group UK 2020-03-24 /pmc/articles/PMC7093464/ /pubmed/32210266 http://dx.doi.org/10.1038/s41598-020-62061-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kang, Sun
Kim, Dong-Kyu
Lee, Yonggu
Lim, Young-Hyo
Park, Hyun-Kyung
Cho, Sung Ho
Cho, Seok Hyun
Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title_full Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title_fullStr Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title_full_unstemmed Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title_short Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
title_sort non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093464/
https://www.ncbi.nlm.nih.gov/pubmed/32210266
http://dx.doi.org/10.1038/s41598-020-62061-4
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