Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조성호 | - |
dc.date.accessioned | 2021-05-14T05:33:45Z | - |
dc.date.available | 2021-05-14T05:33:45Z | - |
dc.date.issued | 2020-03 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v. 10, no. 1, article no. 5261 | en_US |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://www.nature.com/articles/s41598-020-62061-4 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/162046 | - |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | This work was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF No. 2017M3A9E2064626). | en_US |
dc.language.iso | en | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.subject | TRACKING | en_US |
dc.title | Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar | en_US |
dc.type | Article | en_US |
dc.relation.no | 1 | - |
dc.relation.volume | 10 | - |
dc.identifier.doi | 10.1038/s41598-020-62061-4 | - |
dc.relation.page | 1-7 | - |
dc.relation.journal | SCIENTIFIC REPORTS | - |
dc.contributor.googleauthor | Kang, Sun | - |
dc.contributor.googleauthor | Kim, Dong-Kyu | - |
dc.contributor.googleauthor | Lee, Yonggu | - |
dc.contributor.googleauthor | Lim, Young-Hyo | - |
dc.contributor.googleauthor | Park, Hyun-Kyung | - |
dc.contributor.googleauthor | Cho, Sung Ho | - |
dc.contributor.googleauthor | Cho, Seok Hyun | - |
dc.relation.code | 2020051242 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | dragon | - |
dc.identifier.orcid | http://orcid.org/0000-0002-2393-1428 | - |
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