Abstract
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.
Similar content being viewed by others
References
Lüthje L, Andreas S (2008) Obstructive sleep apnea and coronary artery disease. Sleep Med Rev 12(1):19–31. https://doi.org/10.1016/j.smrv.2007.08.002
Shamsuzzaman AM, Gersh BJ, Somers VK (2003) Obstructive sleep apnea: implications for cardiac and vascular disease. JAMA 290(14):1906–1914. https://doi.org/10.1001/jama.290.14.1906
Berry RB, Wagner MH (2015) Fundamentals 9 - polysomnography I. In: Berry RB, Wagner MH (eds) Sleep medicine pearls, Third edn. W.B. Saunders, Philadelphia, pp 80–87. https://doi.org/10.1016/B978-1-4557-7051-9.00009-7
Verhulst SL, Schrauwen N, De Backer WA, Desager KN (2006) First night effect for polysomnographic data in children and adolescents with suspected sleep disordered breathing. Arch Dis Child 91(3):233–237. https://doi.org/10.1136/adc.2005.085365
Wang F, Tanaka M, Chonan S (2003) Development of a PVDF piezopolymer sensor for unconstrained in-sleep cardiorespiratory monitoring. J Intell Mater Syst Struct 14(3):185–190. https://doi.org/10.1177/1045389X03014003006
Fei J, Pavlidis I (2010) Thermistor at a distance: unobtrusive measurement of breathing. IEEE Trans Biomed Eng 57(4):988–998. https://doi.org/10.1109/TBME.2009.2032415
Barbosa Pereira C, Czaplik M, Blazek V, Leonhardt S, Teichmann D (2018) Monitoring of cardiorespiratory signals using thermal imaging: a pilot study on healthy human subjects. Sensors (Basel) 18(5). https://doi.org/10.3390/s18051541
Allen J (2007) Photoplethysmography and its application in clinical physiological measurement. Physiol Meas 28(3):R1–R39. https://doi.org/10.1088/0967-3334/28/3/R01
Lampe L, Witrisal K (2010) Challenges and recent advances in IR-UWB system design. Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS), pp 3288–3291. https://doi.org/10.1109/ISCAS.2010.5537900
Lee Y, Park JY, Choi YW, Park HK, Cho SH, Cho SH, Lim YH (2018) A novel non-contact heart rate monitor using impulse-radio ultra-wideband (IR-UWB) radar technology. Sci Rep 8(1):13053. https://doi.org/10.1038/s41598-018-31411-8
Omachi TA (2011) Measures of sleep in rheumatologic diseases: Epworth sleepiness scale (ESS), functional outcome of sleep questionnaire (FOSQ), insomnia severity index (ISI), and Pittsburgh sleep quality index (PSQI). Arthritis Care Res 63 Suppl 11(0 11):S287–S296. https://doi.org/10.1002/acr.20544
Kapur VK, Auckley DH, Chowdhuri S, Kuhlmann DC, Mehra R, Ramar K, Harrod CG (2017) Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of sleep medicine clinical practice guideline. J Clin Sleep Med 13(3):479–504. https://doi.org/10.5664/jcsm.6506
Berry RB, Brooks R, Gamaldo C, Harding SM, Lloyd RM, Quan SF, Troester MT, Vaughn BV (2017) AASM scoring manual updates for 2017 (version 2.4). J Clin Sleep Med 13(5):665–666. https://doi.org/10.5664/jcsm.6576
Gaikwad AN, Singh D, Nigam MJ (2011) 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. IET Radar, Sonar & Navigation 5(4):416–425. https://doi.org/10.1049/iet-rsn.2010.0059
Khan F, Cho SH (2017) A detailed algorithm for vital sign monitoring of a stationary/non-stationary human through IR-UWB radar. Sensors (Basel, Switzerland) 17(2):290. https://doi.org/10.3390/s17020290
Leem KS, Khan F, Cho HS (2017) Vital sign monitoring and mobile phone usage detection using IR-UWB radar for intended use in Car crash prevention. Sensors 17(6). https://doi.org/10.3390/s17061240
Lee JM, Choi JW, Cho SH (2016) Movement analysis during sleep using an IR-UWB radar sensor. 2016 IEEE international conference on network infrastructure and digital content (IC-NIDC), pp 486–490. https://doi.org/10.1109/ICNIDC.2016.7974622
Kim B-H, Han S-J, Kwon G-R, Pyun J-Y (2015) Signal processing for tracking of moving object in multi-impulse radar network system. Int J Distrib Sens Netw 11(10):1–12. https://doi.org/10.1155/2015/536841
Huang Q, Qu L, Wu B, Fang G (2010) UWB through-wall imaging based on compressive sensing. IEEE Trans Geosci Remote Sens 48(3):1408–1415. https://doi.org/10.1109/TGRS.2009.2030321
Ren L, Wang H, Naishadham K, Kilic O, Fathy AE (2016) Phase-based methods for heart rate detection using UWB impulse Doppler radar. IEEE Transactions on Microwave Theory and Techniques 64(10):3319–3331. https://doi.org/10.1109/TMTT.2016.2597824
Acknowledgements
This work was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) and was funded by the Korean government (MIST) (No. 2017M3A9E2064626).
Funding
This work was funded by the Korean government (MIST) (No. 2017M3A9E2064626).
Author information
Authors and Affiliations
Contributions
SK conducted the experiments and the processing of the data; YL performed statistical analysis; YHL and SeokHC conceived the research idea; SeokHC, YGL and SK wrote the paper; SungHC, YHL and HKP provided critical feedback on the paper.
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(PDF 1.23 MB)
Rights and permissions
About this article
Cite this article
Kang, S., Lee, Y., Lim, YH. et al. Validation of noncontact cardiorespiratory monitoring using impulse-radio ultra-wideband radar against nocturnal polysomnography. Sleep Breath 24, 841–848 (2020). https://doi.org/10.1007/s11325-019-01908-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11325-019-01908-1