Validation of noncontact cardiorespiratory monitoring using impulse-radio ultra-wideband radar against nocturnal polysomnography

被引:29
作者
Kang, Sun [1 ]
Lee, Yonggu [2 ]
Lim, Young-Hyo [2 ]
Park, Hyun-Kyung [3 ]
Cho, Sung Ho [1 ]
Cho, Seok Hyun [4 ]
机构
[1] Hanyang Univ, Dept Elect & Comp Engn, 222 Wangsimni Ro, Seoul 04763, South Korea
[2] Hanyang Univ, Coll Med, Dept Internal Med, Div Cardiol, Seoul, South Korea
[3] Hanyang Univ, Coll Med, Dept Pediat, Seoul, South Korea
[4] Hanyang Univ, Coll Med, Dept Otorhinolaryngol Head & Neck Surg, 222 Wangsimni Ro, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Cardiopulmonary; Apnea; Radar; Polysomnography; Noncontact; Monitoring; OBSTRUCTIVE SLEEP-APNEA; WALL;
D O I
10.1007/s11325-019-01908-1
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose Polysomnography (PSG) is a standard diagnostic test for obstructive sleep apnea (OSA). However, PSG requires many skin-contacted sensors to monitor vital signs of patients, which may also hamper patients' sleep. Because impulse-radio ultra-wideband (IR-UWB) radar can detect the movements of heart and lungs without contact, it may be utilized for vital sign monitoring during sleep. Therefore, we aimed to verify the accuracy and reliability of the breathing rate (BR) and the heart rate (HR) measured by IR-UWB radar. Method Data acquisition with PSG and IR-UWB radar was performed simultaneously in 6 healthy volunteers and in 15 patients with suspected OSA. Subjects were divided into 4 groups (normal, mild OSA, moderate OSA, and severe OSA) according to the apnea-hypopnea index (AHI). BRs and HRs obtained from the radar using a software algorithm were compared with the BRs (chest belt) and the HRs (electrocardiography) obtained from the PSG. Results In normal and in mild OSA, BRs (intraclass correlation coefficients R [ICCR] 0.959 [0.956-0.961] and 0.957 [0.955-0.960], respectively) and HRs ([ICCR] 0.927 [0.922-0.931] and 0.926 [0.922-0.931], respectively) measured in the radar showed excellent agreement with those measured in PSG. In moderate and severe OSA, BRs ([ICCR] 0.957 [0.956-0.959] and 0.873 [0.864-0.882], respectively) and HRs ([ICCR] 0.907 [0.904-0.910] and 0.799 [0.784-0.812], respectively) from the two methods also agreed well. Conclusions The IR-UWB radar could accurately measure BRs and HRs in sleeping patients with OSA. Therefore, IR-UWB radar may be utilized as a cardiopulmonary monitor during sleep.
引用
收藏
页码:841 / 848
页数:8
相关论文
共 20 条
[1]   Photoplethysmography and its application in clinical physiological measurement [J].
Allen, John .
PHYSIOLOGICAL MEASUREMENT, 2007, 28 (03) :R1-R39
[2]  
[Anonymous], SENSORS BASEL
[3]  
Berry RB, 2015, FUNDAMENTALS 9 POLYS, P80
[4]   AASM Scoring Manual Updates for 2017 (Version 2.4) [J].
Berry, Richard B. ;
Brooks, Rita ;
Gamaldo, Charlene ;
Harding, Susan M. ;
Lloyd, Robin M. ;
Quan, Stuart F. ;
Troester, Matthew T. ;
Vaughn, Bradley V. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2017, 13 (05) :665-666
[5]   Thermistor at a Distance: Unobtrusive Measurement of Breathing [J].
Fei, Jin ;
Pavlidis, Ioannis .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (04) :988-998
[6]   Application of clutter reduction techniques for detection of metallic and low dielectric target behind the brick wall by stepped frequency continuous wave radar in ultra-wideband range [J].
Gaikwad, A. N. ;
Singh, D. ;
Nigam, M. J. .
IET RADAR SONAR AND NAVIGATION, 2011, 5 (04) :416-425
[7]   UWB Through-Wall Imaging Based on Compressive Sensing [J].
Huang, Qiong ;
Qu, Lele ;
Wu, Bingheng ;
Fang, Guangyou .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (03) :1408-1415
[8]   Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline [J].
Kapur, Vishesh K. ;
Auckley, Dennis H. ;
Chowdhuri, Susmita ;
Kuhlmann, David C. ;
Mehra, Reena ;
Ramar, Kannan ;
Harrod, Christopher G. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2017, 13 (03) :479-504
[9]   A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar [J].
Khan, Faheem ;
Cho, Sung Ho .
SENSORS, 2017, 17 (02)
[10]   Signal Processing for Tracking of Moving Object in Multi-Impulse Radar Network System [J].
Kim, Beom-Hun ;
Han, Seung-Jo ;
Kwon, Goo-Rak ;
Pyun, Jae-Young .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,