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A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function

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Mobile Health

Abstract

Long-term monitoring of physiology at large-scale can help determine potential causes and early biomarkers of chronic diseases. Physiological monitoring today, however, requires wearing of sensors such as electrodes for ECG and belt around lungs for respiration, and is unsuitable for monitoring of patients and healthy adults over multiple years. In this chapter, we review advances in a novel sensing modality using radio frequency (RF) waves that can provide physiological measurements without skin contact in both lab and field environments. This chapter presents fundamentals of RF biosensing with experimental results of a new experimental bioradar platform illustrating the concepts. The focus is on new approaches to monitor heart motion and respiratory effort. Experimental results using both an articulated heart phantom and human subjects show that RF sensing modality can match the performance of state-of-the-art physiological monitoring devices in terms of retrieving features and statistics of clinical significance.

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References

  1. Acharya, U.R., Joseph, K.P., Kannathal, N., Lim, C.M., Suri, J.S.: Heart rate variability: a review. Medical and biological engineering and computing 44(12), 1031–1051 (2006)

    Article  Google Scholar 

  2. Akselrod, S., Gordon, D., Madwed, J.B., Snidman, N., Shannon, D., Cohen, R.: Hemodynamic regulation: investigation by spectral analysis. American Journal of Physiology-Heart and Circulatory Physiology 249(4), H867–H875 (1985)

    Google Scholar 

  3. Brovoll, S., Berger, T., Paichard, Y., Aardal, O., Lande, T.S., Hamran, S.E.: Time-lapse imaging of human heart motion with switched array uwb radar. IEEE Transactions on Biomedical Circuits and Systems 8(5), 704–715 (2014)

    Article  Google Scholar 

  4. Darbellay, G.A., Vajda, I., et al.: Estimation of the information by an adaptive partitioning of the observation space. IEEE Transactions on Information Theory 45(4), 1315–1321 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  5. Droitcour, A., Lubecke, V., Lin, J., Boric-Lubecke, O.: A microwave radio for doppler radar sensing of vital signs. In: Microwave Symposium Digest, 2001 IEEE MTT-S International, vol. 1, pp. 175–178. IEEE (2001)

    Google Scholar 

  6. Ertin, E., Stohs, N., Kumar, S., Raij, A., al’Absi, M., Shah, S.: Autosense: unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. In: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, pp. 274–287 (2011)

    Google Scholar 

  7. Fear, E.C., Bourqui, J., Curtis, C., Mew, D., Docktor, B., Romano, C.: Microwave breast imaging with a monostatic radar-based system: A study of application to patients. IEEE transactions on microwave theory and techniques 61(5), 2119–2128 (2013)

    Article  Google Scholar 

  8. Federal Communications Commission: Revision of part 15 of the commission’s rules regarding ultra-wideband transmission systems. First report and order, ET Docket 98153 (2002)

    Google Scholar 

  9. Fisher III, J.W., Darrell, T.: Speaker association with signal-level audiovisual fusion. IEEE Transactions on Multimedia 6(3), 406–413 (2004)

    Article  Google Scholar 

  10. Fletcher, R., Dobson, K., Goodwin, M., Eydgahi, H., Wilder-Smith, O., Fernholz, D., Kuboyama, Y., Hedman, E., Poh, M., Picard, R.: icalm: Wearable sensor and network architecture for wirelessly communicating and logging autonomic activity. IEEE Transactions on Information Technology in Biomedicine 14(2), 215–223 (2010)

    Google Scholar 

  11. Gao, J., Ertin, E., Kumar, S., al’Absi, M.: Contactless sensing of physiological signals using wideband rf probes. In: 2013 Asilomar Conference on Signals, Systems and Computers, pp. 86–90. IEEE (2013)

    Google Scholar 

  12. Hailstone, J., Kilding, A.: Reliability and validity of the zephyrTM bioharnessTM to measure respiratory responses to exercise. Measurement in Physical Education and Exercise Science 15(4), 293–300 (2011)

    Article  Google Scholar 

  13. Haykin, S.: Communication systems. John Wiley & Sons (2008)

    Google Scholar 

  14. Henriksson, T., Klemm, M., Gibbins, D., Leendertz, J., Horseman, T., Preece, A., Benjamin, R., Craddock, I.: Clinical trials of a multistatic uwb radar for breast imaging. In: Antennas and Propagation Conference (LAPC), 2011 Loughborough, pp. 1–4. IEEE (2011)

    Google Scholar 

  15. Klemm, M., Craddock, I.J., Leendertz, J.A., Preece, A., Benjamin, R.: Radar-based breast cancer detection using a hemispherical antenna array–experimental results. IEEE Transactions on Antennas and Propagation 57(6), 1692–1704 (2009)

    Article  Google Scholar 

  16. Kraskov, A., Stögbauer, H., Grassberger, P.: Estimating mutual information. Physical review E 69(6), 066,138 (2004)

    Article  MathSciNet  Google Scholar 

  17. Lerma, C., Minzoni, A., Infante, O., José, M.V.: A mathematical analysis for the cardiovascular control adaptations in chronic renal failure. Artificial organs 28(4), 398–409 (2004)

    Article  Google Scholar 

  18. Lin, J.C.: Non-invasive microwave measurement of respiration. Proceedings of the IEEE 63 (1975)

    Google Scholar 

  19. Lin, J.C.: Microwave apexcardiography. IEEE Transactions MTT 27 (1979)

    Google Scholar 

  20. Lubecke, V., Boric-Lubecke, O., Awater, G., Ong, P., Gammel, P., Yan, R., Lin, J.: Remote sensing of vital signs with telecommunications signals. In: World Congress on Medical Physics and Biomedical Engineering (WC2000), Chicago IL (2000)

    Google Scholar 

  21. Lubecke, V., Boric-Lubecke, O., Beck, E.: A compact low-cost add-on module for doppler radar sensing of vital signs using a wireless communications terminal. In: Microwave Symposium Digest, 2002 IEEE MTT-S International, vol. 3, pp. 1767–1770. IEEE (2002)

    Google Scholar 

  22. Mantzel, W., Romberg, J.: Compressed subspace matching on the continuum. Information and Inference p. iav008 (2015)

    Google Scholar 

  23. Mokdad, A., Marks, J., Stroup, D., Gerberding, J.: Actual causes of death in the united states, 2000. JAMA: the journal of the American Medical Association 291(10), 1238 (2004)

    Article  Google Scholar 

  24. Moon, Y.I., Rajagopalan, B., Lall, U.: Estimation of mutual information using kernel density estimators. Physical Review E 52(3), 2318–2321 (1995)

    Article  Google Scholar 

  25. Nowogrodzki., M., Mawhinney, D.: Dual frequency heart rate monitor utilizing doppler radar. US Patent 4,513,748 (1985)

    Google Scholar 

  26. Pfeifer, M.A., Cook, D., Brodsky, J., Tice, D., Reenan, A., Swedine, S., Halter, J.B., Porte, D.: Quantitative evaluation of cardiac parasympathetic activity in normal and diabetic man. Diabetes 31(4), 339–345 (1982)

    Article  Google Scholar 

  27. Plarre, K., Raij, A., Hossain, S., Ali, A., Nakajima, M., Al’absi, M., Ertin, E., Kamarck, T., Kumar, S., Scott, M., et al.: Continuous inference of psychological stress from sensory measurements collected in the natural environment. In: International Conference on Information Processing in Sensor Networks (IPSN), pp. 97–108 (2011)

    Google Scholar 

  28. Poh, M., Swenson, N., Picard, R.: A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Transactions on Biomedical Engineering 57(5), 1243–1252 (2010)

    Article  Google Scholar 

  29. Rothschild, M., Rothschild, A., Pfeifer, M.: Temporary decrease in cardiac parasympathetic tone after acute myocardial infarction. The American journal of cardiology 62(9), 637–639 (1988)

    Article  Google Scholar 

  30. Saul, J.P.: Beat-to-beat variations of heart rate reflect modulation of cardiac autonomic outflow. Physiology 5(1), 32–37 (1990)

    Google Scholar 

  31. Scharf, L.L., Friedlander, B.: Matched subspace detectors. IEEE Transactions on Signal Processing 42(8), 2146–2157 (1994)

    Article  Google Scholar 

  32. Seals, J., Crowgey, S.R., Sharpe, S.: Electromagnetic vital signs monitor. Georgia Tech Research Institute Biomedical Division, Final Report Project A-3529–060 (1986)

    Google Scholar 

  33. Staderini, E.: Uwb radars in medicine. Aerospace and Electronic Systems Magazine, IEEE 17(1), 13–18 (2002)

    Article  Google Scholar 

  34. Suzuki, T., Sugiyama, M.: Sufficient dimension reduction via squared-loss mutual information estimation. Neural computation 25(3), 725–758 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  35. Torkkola, K.: Feature extraction by non parametric mutual information maximization. The Journal of Machine Learning Research 3, 1415–1438 (2003)

    MathSciNet  MATH  Google Scholar 

  36. Wheeler, T., Watkins, P.: Cardiac denervation in diabetes. Bmj 4(5892), 584–586 (1973)

    Article  Google Scholar 

  37. Zito, D., Pepe, D., Mincica, M., Zito, F., De Rossi, D., Lanata, A., Scilingo, E., Tognetti, A.: Wearable system-on-a-chip uwb radar for contact-less cardiopulmonary monitoring: Present status. In: Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp. 5274–5277. IEEE (2008)

    Google Scholar 

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Correspondence to Emre Ertin .

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Gao, J., Baskar, S., Teng, D., al’Absi, M., Kumar, S., Ertin, E. (2017). A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function. In: Rehg, J., Murphy, S., Kumar, S. (eds) Mobile Health. Springer, Cham. https://doi.org/10.1007/978-3-319-51394-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-51394-2_15

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