Skip to main content
SpringerLink
Log in

Multiparameter Sleep Monitoring Using a Depth Camera

  • Conference paper
Biomedical Engineering Systems and Technologies (BIOSTEC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 357))

Abstract

In this study, a depth analysis technique was developed to monitor user’s breathing rate, sleep position, and body movement while sleeping without any physical contact. A cross-section method was proposed to detect user’s head and torso from the sequence of depth images. In the experiment, eight participants were asked to change the sleep positions (supine and side-lying) every fifteen breathing cycles on the bed. The results showed that the proposed method is promising to detect the head and torso with various sleeping postures and body shapes. In addition, a realistic over-night sleep monitoring experiment was conducted. The results demonstrated that this system is promising to monitor the sleep conditions in realistic sleep conditions and the measurement accuracy was better than the first experiment. This study is important for providing a non-contact technology to measure multiple sleep conditions and assist users in better understanding of his sleep quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aoki, H., Koshiji, K.: Non-contact Respiration monitoring method for screening sleep respiratory disturbance using slit light pattern projection. World Congress on Medical Physics and Biomedical Engineering 14(7), 680–683 (2006)

    Google Scholar 

  2. Aoki, H., Koshiji, K., Nakamura, H., Takemura, Y., Nakajima, M.: Study on respiration monitoring method using near-infrared multiple slit-lights projection. In: IEEE International Symposium on Micro-NanoMechatronics and Human Science, pp. 291–296 (2005)

    Google Scholar 

  3. Ancoli-Israel, S., Cole, R., Alessi, C., Chambers, M., Moorcroft, W., Pollak, C.P.: The role of actigraphy in the study of sleep and circadian rhythms. Sleep 26(3), 342–392 (2003)

    Google Scholar 

  4. BaHammam, A.: Comparison of nasal prong pressure and thermistor measurements for detecting respiratory events during sleep. Respiration 71(4), 385–390 (2004)

    Article  Google Scholar 

  5. ZZZ checker, http://www.zzzchecker.com/ (retrieved on April 2011)

  6. Born, J., Lange, T., Hansen, K., Molle, M., Fehm, H.L.: Effects of sleep and circadian rhythm on human circulating immune cells. The Journal of Immunology 158(9), 4454–4464 (1997)

    Google Scholar 

  7. Cantineau, J.P., Escourrou, P., Sartene, R., Gaultier, C., Goldman, M.: Accuracy of respiratory inductive plethysmography during wakefulness and sleep in patients with obstructive sleep apnea. Chest 102(4), 1145–1151 (1992)

    Article  Google Scholar 

  8. Cartwright, R.D.: Effect of sleep position on sleep apnea severit. Sleep 7(2), 110–114 (1984)

    Google Scholar 

  9. Douglas, N., Thomas, S., Jan, M.: Clinical value of polysomnography. Lancet 339, 347–350 (1992)

    Article  Google Scholar 

  10. Erina, K., Yousuke, K., Kajiro, W.: Sleep stage estimation by non-invasive bio-measurement. In: SICE-ICASE International Joint Conference, pp. 1494–1499 (2006)

    Google Scholar 

  11. Fitbit, http://www.fitbit.com/ (retrieved on May 2011)

  12. Hoque, E., Dickerson, R.F., Stankovic, J.A.: Monitoring body positions and movements during sleep using WISPs. Wireless Health, 44–53 (2010)

    Google Scholar 

  13. Idzikowski, C.: Sleep position gives personality clue. BBC News (September 16, 2003)

    Google Scholar 

  14. Kushida, C.A., Chang, A., Gadkary, C., Guilleminault, C., Carrillo, O., Dement, W.C.: Comparison of actigraphic, polysomnographic, and subjective assessment of sleep parameters in sleep-disordered patients. Sleep Med. 2(5), 389–396 (2001)

    Article  Google Scholar 

  15. Kinect, http://www.xbox.com/kinect (retrieved on March 2011)

  16. Loord, H., Hultcrantz, E.: Positioner - a method for preventing sleep apnea. Acta Oto-laryngologica 127(8), 861–868 (2007)

    Article  Google Scholar 

  17. Maquet, P.: The role of sleep in learning and memory. Science 294, 1048–1052 (2001)

    Article  Google Scholar 

  18. Malakuti, K., Albu, A.B.: Towards an intelligent bed sensor: Non-intrusive monitoring of sleep irregularities with computer vision techniques. In: International Conference on Pattern Recognition, pp. 4004–4007 (2010)

    Google Scholar 

  19. Nakajima, K., Matsumoto, Y., Tamura, T.: Development of real-time image sequence analysis for evaluating posture change and respiratory rate of a subject in bed. Physiological Measurement 22, N21–N28 (2001)

    Google Scholar 

  20. Philips Actiwatch, http://www.healthcare.philips.com/ (retrieved on August 2010)

  21. PneumaCare, http://www.pneumacare.com/ (retrieved on June 2011)

  22. Wareham, R., Lasenby, J., Cameron, J., Bridge, P.D., Iles, R.: Structured light plethysmography (SLP) compared to spirometry: a pilot study. In: European Respiratory Society Annual Congress, Vienna (2009)

    Google Scholar 

  23. Sadeh, A., Sharkey, K.M., Carskadon, M.A.: Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep 17(3), 201–207 (1994)

    Google Scholar 

  24. Staderini, E.M.: UWB radars in medicine. Aerospace and Electronic Systems Magazine 17(1), 13–18 (2002)

    Article  Google Scholar 

  25. Spiegel, K., Leproult, R., Cauter, D.V.: Impact of sleep debt on metabolic and endocrine function. The LANCET 354(9188), 1435–1439 (1999)

    Article  Google Scholar 

  26. Szollosi, I., Roebuck, T., Thompson, B., Naughton, M.T.: Lateral sleeping position reduces severity of central sleep apnea/cheyne-stokes respiration. Sleep 29(8), 1045–1051 (2002)

    Google Scholar 

  27. Harada, T., Sakata, A., Mori, T., Sato, T.: Sensor pillow system: monitoring respiration and body movement in sleep. In: Intelligent Robots and Systems, IROS 2000, vol. 1, pp. 351–356 (2000)

    Google Scholar 

  28. Thought Technology Ltd., http://www.thoughttechnology.com/ (retrieved on June 2010)

  29. Whyte, K.F., Gugger, M., Gould, G.A., Molloy, J., Wraith, P.K., Douglas, N.J.: Accuracy of respiratory inductive plethysmograph in measuring tidal volume during sleep. Journal of Applied Physiology 71(5), 1866–1871 (1991)

    Google Scholar 

  30. WakeMate, http://www.wakemate.com/ (retrieved on May 2011)

  31. Ziganshin, E.G., Numerov, M.A., Vygolov, S.A.: UWB baby monitor. Ultra-wideband and Ultrashort Impulse Signals, 159–161 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate Institute of Networking and Multimedia, National Taiwan University, Roosevelt Road, Taipei, Taiwan

    Meng-Chieh Yu, Ming-Sui Lee & Yi-Ping Hung

  2. Department of Computer Science and Information Engineering, National Taiwan University, Roosevelt Road, Taipei, Taiwan

    Huan Wu, Jia-Ling Liou, Ming-Sui Lee & Yi-Ping Hung

Authors
  1. Meng-Chieh Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huan Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jia-Ling Liou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ming-Sui Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yi-Ping Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Porto, Portugal

    Joaquim Gabriel

  2. Institute of Information Theory and Automation of the ASCR, Pod vodárenskou věží 4, CZ-182 08, Prague 8, Czech Republic

    Jan Schier

  3. Dept. of Electrical Engineering, ESAT-SCD(SISTA), Katholieke Universiteit Leuven, Belgium

    Sabine Van Huffel

  4. University of Toulouse, France

    Emmanuel Conchon

  5. University of Coimbra, Portugal

    Carlos Correia

  6. IST - Technical University of Lisbon,, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  7. Institute of Telecommunication, Lisboa, Portugal

    Hugo Gamboa

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yu, MC., Wu, H., Liou, JL., Lee, MS., Hung, YP. (2013). Multiparameter Sleep Monitoring Using a Depth Camera. In: Gabriel, J., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2012. Communications in Computer and Information Science, vol 357. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38256-7_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38256-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38255-0

  • Online ISBN: 978-3-642-38256-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation