Literature DB >> 34302610

Evaluation of a non-contact ultra-wideband bio-radar sleep monitoring device for screening of sleep breathing disease.

Zhijing Wei1, Jiahuan Xu1, WenYang Li1, Xingjian Wang1, Zheng Qin1, Jiawei Zhou1, Wei Wang2.   

Abstract

PURPOSE: Ultra-wideband bio-radar (UWB) is a new non-contact technology that can be used to screen for obstructive sleep apnea (OSA). However, little information is available regarding its reliability. This study aimed to evaluate the effectiveness of UWB and to determine if UWB could provide a novel and reliable method for the primary screening of sleep-related breathing disorders.
METHOD: Subjects with suspected OSA from the sleep center of the First Hospital of the China Medical University were assessed over the period of September 2018 to April 2019 for enrollment in the study. Three detection methods were simultaneously used, including the STOP-Bang questionnaire (SBQ), UWB, and standard polysomnography (PSG). The data were analyzed using a fourfold table, receiver operating characteristic curves, Spearman rank correlation coefficients, Bland-Altman plots, and epoch-by-epoch analysis. RESULT: Of 67 patients, 56 were men, mean age was 43 ± 11 years, mean body mass index was 27.8 ± 4.8 kg/m2, and mean SBQ score was 4.8 ± 1.6. The apnea-hypopnea index (AHI) (r = 0.82, p < 0.01) and minimum arterial oxygen saturation (r = 0.80, p < 0.01) of the UWB were positively correlated with those obtained from the PSG. UWB performed better than SBQ, as indicated by the larger area under the curve (0.85 vs. 0.632). The sensitivity and specificity of the UWB-AHI were good (100%, 70%, respectively).
CONCLUSIONS: UWB performs well in the screening of OSA and can provide reliable outcomes for the screening of OSA at the primary level.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Bio-radar; Home sleep apnea testing; Monitoring technology; Obstructive sleep apnea; Screening; Ultra-wideband

Mesh:

Year:  2021        PMID: 34302610     DOI: 10.1007/s11325-021-02424-x

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  11 in total

1.  Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis.

Authors:  Yan Ma; Shuchen Sun; Ming Zhang; Dan Guo; Arron Runzhou Liu; Yulin Wei; Chung-Kang Peng
Journal:  Sleep Breath       Date:  2019-06-21       Impact factor: 2.816

2.  A community study of sleep-disordered breathing in middle-aged Chinese men in Hong Kong.

Authors:  M S Ip; B Lam; I J Lauder; K W Tsang; K F Chung; Y W Mok; W K Lam
Journal:  Chest       Date:  2001-01       Impact factor: 9.410

3.  [A study on technology to identify human beings or animals in life-detector based on radar].

Authors:  Jianqi Wang; Chongxun Zheng; Guohua Lu; Xijing Jing
Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi       Date:  2005-12

Review 4.  Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis.

Authors:  Hsiao-Yean Chiu; Pin-Yuan Chen; Li-Pang Chuang; Ning-Hung Chen; Yu-Kang Tu; Yu-Jung Hsieh; Yu-Chi Wang; Christian Guilleminault
Journal:  Sleep Med Rev       Date:  2016-11-05       Impact factor: 11.609

5.  Model of human breathing reflected signal received by PN-UWB radar.

Authors:  Mohamed Mabrouk; Sreeraman Rajan; Miodrag Bolic; Izmail Batkin; Hilmi R Dajani; Voicu Z Groza
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

Review 6.  Prevalence of obstructive sleep apnea in the general population: A systematic review.

Authors:  Chamara V Senaratna; Jennifer L Perret; Caroline J Lodge; Adrian J Lowe; Brittany E Campbell; Melanie C Matheson; Garun S Hamilton; Shyamali C Dharmage
Journal:  Sleep Med Rev       Date:  2016-07-18       Impact factor: 11.609

Review 7.  Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome.

Authors:  Luciano F Drager; Sônia M Togeiro; Vsevolod Y Polotsky; Geraldo Lorenzi-Filho
Journal:  J Am Coll Cardiol       Date:  2013-06-12       Impact factor: 24.094

8.  STOP questionnaire: a tool to screen patients for obstructive sleep apnea.

Authors:  Frances Chung; Balaji Yegneswaran; Pu Liao; Sharon A Chung; Santhira Vairavanathan; Sazzadul Islam; Ali Khajehdehi; Colin M Shapiro
Journal:  Anesthesiology       Date:  2008-05       Impact factor: 7.892

9.  Evaluation of five different questionnaires for assessing sleep apnea syndrome in a sleep clinic.

Authors:  Athanasia Pataka; Euphemia Daskalopoulou; George Kalamaras; Katalin Fekete Passa; Parakevi Argyropoulou
Journal:  Sleep Med       Date:  2014-04-20       Impact factor: 3.492

10.  Validation of novel automatic ultra-wideband radar for sleep apnea detection.

Authors:  Yong Zhou; Degui Shu; Hangdi Xu; Yuanhua Qiu; Pan Zhou; Wenjing Ruan; Guangyue Qin; Joy Jin; Hao Zhu; Kejing Ying; Wenxia Zhang; Enguo Chen
Journal:  J Thorac Dis       Date:  2020-04       Impact factor: 2.895

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