Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지

The Modeling of the Differential Measurement of Air Pressure for Non-intrusive Sleep Monitoring Sensor System

  • Chee, Young-Joon (Advanced Biometric Research Center, Seoul Nat'l Univ.) ;
  • Park, Kwang-Suk (Dept. of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.)
  • Published : 2005.12.01
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Abstract

The respiratory and heart beat signals are the fundamental physiological signals for sleep monitoring in the home. Using the air mattress sensor system, the respiration and heart beat movements can be measured without any harness or sensor on the subject's body which makes long term measurement difficult and troublesome. The differential measurement technique between two air cells is adopted to enhance the sensitivity. The concept of the balancing tube between two air cells is suggested to increase the robustness against postural changes during the measurement period. With this balancing tube, the meaningful frequency range could be selected by the pneumatic filter method. The mathematical model for the air mattress and balancing tube was suggested and the validation experiments were performed for step and sinusoidal input. The results show that the balancing tube can eliminate the low frequency component between two cells effectively. This technique was applied to measure the respiration and heart beat on the bed, which shows the potential applications for sleep monitoring device in home. With the analysis of the waveform, respiration intervals and heart beat intervals were calculated and compared with the signal from conventional methods. The results show that the measurement from air mattress with balancing tube can be used for monitoring respiration and heart beat in various situations.

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References

  1. W. Flenons, et al., 'Home Diagnosis of sleep Apnea: A Systemic Review of the Literature', CHEST, Vol.124, pp.1543-1579, 2003 https://doi.org/10.1378/chest.124.4.1543
  2. D. White, et al., 'Assessment of Accuracy and Analysis Time of a Novel Device to Monitor Sleep and Breathing in the Home', Sleep, Vol. 18, No.2, pp. 115-126, 1995
  3. S. Tanaka., Y. Matsumoto, and K. Wakimoto, 'Unconstrained and non-invasive measurement of heartbeat and respiration periods using a phonocardiographic sensor', Med. Biol. Eng. Comput., Vol. 40, pp.246-252, 2002 https://doi.org/10.1007/BF02348132
  4. J.L. Jacobs, P. Embree, M. Glei, S. Christensen, and P.K. Sullivan, 'Characterization of a novel heart and respiratory rate sensor', Proc. Of 26th Ann. International Conference of IEEE EMBS, pp.2223-2226, 2004
  5. W.B. Spillman Jr., M. Mayer, J. Bennett, J. Gong, K.E. Meissner, B. Davis, R.O. Clauss, A.A. Muelenaer Jr., and X. Xu, 'A smart bed for non-intrusive monitoring of patient physiological factors', Meas. Sci. Technol., Vol. 15, pp.1614-1620, 2004 https://doi.org/10.1088/0957-0233/15/8/032
  6. J. Alihanka, A. Vaahtoranta, and K. Saarikivi, 'A new method for long term monitoring of the ballistocardiogram, heart rate, and respiration', Am. J. Physiol., Vol. 240, pp.384-392, 1981
  7. L. Hernandez, B. Waag, H. Hsiao, and V. Neelon, 'A new non-invasive approach for monitoring respiratory movement of sleeping subjects', Physiol. Meas., Vol. 16, pp.161-167, 1995 https://doi.org/10.1088/0967-3334/16/3/003
  8. P. Chow, G. Nagendra, and J. Abischeganaden, Y.T. Wang, 'Respiratory monitoring using an air-mattress system', Physiol. Meas., Vol. 21, pp.345-354, 2000 https://doi.org/10.1088/0967-3334/21/3/301
  9. T. Watanabe, and K. Watanabe, 'Noncontact Method for Sleep Stage Estimation', IEEE Trans. On Biomedical Engineering, Vol. 51, No.10, 1735-1748, 2004 https://doi.org/10.1109/TBME.2004.828037
  10. Y.J. Chee, J.M. Han, J.W. Youn, and K.S. Park, 'Air mattress sensor system with balancing tube for unconstrained measurement of respiration and heart beat movements', Physiol. Meas., Vol. 26 pp. 413-422, 2005 https://doi.org/10.1088/0967-3334/26/4/007
  11. M. Ogata, System Dynamics, New Jersey, Prentice-Hall, pp.258-264, 1978
  12. W. Tompkins, Biomedical Digital Signal Processing, New Jersey, Prentice-Hall, pp.236-254, 1993