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UWB Platform for Vital Signs Detection and Monitoring

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World Congress on Medical Physics and Biomedical Engineering 2018

Part of the book series: IFMBE Proceedings ((IFMBE,volume 68/3))

Abstract

In this paper a non-invasive method for vital signs detection and monitoring employing ultrawide bandwidth (UWB) technology is proposed. The idea behind the proposed approach is to use UWB technology to measure the variations in RF communication channel characteristics to detect vital signs. The feasibility of the proposed approach was experimentally tested with custom developed software and hardware platform, based on Decawave DW1000 M module. The platform was specifically designed and optimized to enable data acquisition of physical parameters with high sampling rate. The experiment consisted of placing UWB transmitter and receiver units in predetermined positions on the anterior and posterior thoracic wall where the transmitter generates an ultra-short UWB pulse with a minimum bandwidth of 500 MHz. From the channel impulse response (CIR) of the UWB channel measured at the UWB receiver the information about the heart muscle contraction is extracted. The heart muscle contraction detection algorithm exploits on the fact that the heart movements are periodic and therefore suitable for detection in frequency domain. The algorithm for feature extraction processes the sampled signal frequency spectrum, in order to estimate the heart rate. The obtained results showed the validity of the proposed approach and the performance of the proposed method was evaluated in comparison with commercial ECG device.

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References

  1. Di Benedetto, Maria-Gabriella. UWB Communication Systems: A Comprehensive Overview. New York, NY [u.a.]: Hindawi Publ (2006)

    Google Scholar 

  2. Code of Federal Regulations: Part 15 Subpart F Ultra-Wideband Operation. Federal Communications Commission (May 2002)

    Google Scholar 

  3. Christine N. Paulson, John T. Chang, Carlos E. Romero, Joseph Watson, Fred J. Pearce, Nathan Levin, Ultra-wideband radar methods and techniques of medical sensing and imaging, Proc. SPIE 6007, Smart Medical and Biomedical Sensor Technology III, 60070L (11 November 2005)

    Google Scholar 

  4. Bugaev, A. A. et al., Through wall sensing of human breathing and heart beating by monochromatic radar, Proceedings of the Tenth International Conference on Grounds Penetrating Radar, 2004. GPR 2004. 1 (2004)

    Google Scholar 

  5. Lai, Chieh-Ping et al., Hilbert-Huang Transform (HHT) Analysis of Human Activities Using Through-Wall Noise Radar, 2007 International Symposium on Signals, Systems and Electronics (2007)

    Google Scholar 

  6. Yan, Jiaming et al., Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm, Sensors (2016)

    Google Scholar 

  7. Amjad Hashemi, Alireza Ahmadian, Mehran Baboli, An Efficient Algorithm for Remote Detection of Simulated Heart Rate Using Ultra-Wide Band Signals, American Journal of Biomedical Engineering, Vol. 3 No. 6 (2013)

    Google Scholar 

  8. Baboli, Mehran, Olga Boric-Lubecke, and Victor Lubecke, A New Algorithm for Detection of Heart and Respiration Rate with UWB Signals, Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 2012 (2012)

    Google Scholar 

  9. Nguyen, Van et al., Harmonic Path (HAPA) algorithm for non-contact vital signs monitoring with IR-UWB radar, 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2013)

    Google Scholar 

  10. E. Priidel, R. Land, V. Sinivee, P. Annus and M. Min, Comparative measurement of cardiac cycle by means of different sensors, 2017 Electronics, Palanga (2017)

    Google Scholar 

  11. “DWM User Manual”. [Online]. Available: http://www.decawave.com/ (2018)

  12. Dove Ilka, Analysis of Radio Propagation Inside the Human Body for in-Body Localization Purposes, University of Twnte, Faculty of Electrical Engineering, Mathematics & Comupter Science, M.Sc. Thesis (August 2014)

    Google Scholar 

  13. McLaughlin, Michael, Ciaran McElroy, Sinbad Wilmot, and Tony Proudfoot. RECEIVER FOR USE IN AN ULTRA-WIDEBAND COMMUNICATION SYSTEM. DECAWAVE LIMITED, Dublin (IE), assignee. Patent US 2014/0133522 A1. 15 May 2014. Print

    Google Scholar 

  14. M. Klemm and G. Troester, “ EM energy absorption in the human body tissues due to UWB antennas,” Progress in Electromagnetics Research, Vol. 62, 261–280 (2006)

    Google Scholar 

  15. “Shimmer User Manual”. [Online]. Available: http://www.shimmersensing.com/ (2018)

  16. Pan, Jiapu and Willis J. Tompkins, A Real-Time QRS Detection Algorithm, IEEE Transactions on Biomedical Engineering BME-32 (1985)

    Google Scholar 

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Acknowledgements

This research has been supported by the European Regional Development Fund under the grant KK.01.1.1.01.0009 (DATACROSS).

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Correspondence to Ivana Čuljak .

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Čuljak, I., Mihaldinec, H., Kovačić, Z., Cifrek, M., Džapo, H. (2019). UWB Platform for Vital Signs Detection and Monitoring. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/3. Springer, Singapore. https://doi.org/10.1007/978-981-10-9023-3_7

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  • DOI: https://doi.org/10.1007/978-981-10-9023-3_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-9022-6

  • Online ISBN: 978-981-10-9023-3

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