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Pulse Signal Acquisition Using Multi-sensors

  • David Zhang
  • Wangmeng Zuo
  • Peng Wang
Chapter

Abstract

In this chapter, we integrate a pressure sensor with a photoelectric sensor to make a fusion sensor which can acquire the pulse from different approaches. We designed the multichannel sensor arrays structure and introduced the pulse analysis algorithm and classification methods. Experiments on disease classification are carried out to test the system performance with multichannel and different sensor arrays. The results show that the novel system is not only able to distinguish between healthy pulse samples and subjects suffering from diabetes but also good at obtaining more information than the conventional pulse system with single channel or simplex-type sensor.

References

  1. 1.
    B. Flaws, The Secret of Chinese Pulse Diagnosis. Boulder, CO, USA: Blue Poppy Enterprises, Inc., 1995.Google Scholar
  2. 2.
    M. Broffman and M. McCulloch, “Instrument-assisted pulse evaluation in the acupuncture practice,” Amer. J. Acupuncture, vol. 14, no. 3, pp. 255–259, 1986.Google Scholar
  3. 3.
    C. T. Lee and L. Y. Wei, “Spectrum analysis of human pulse,” IEEE Trans. Biomed. Eng., vol. BME-30, no. 6, pp. 348–352, Jun. 1983.CrossRefGoogle Scholar
  4. 4.
    A.-B. Liu, P.-C. Hsu, Z.-L. Chen, and H.-T. Wu, “Measuring pulse wave velocity using ECG and photoplethysmography,” J. Med. Syst., vol. 35, no. 5, pp. 771–777, Oct. 2011.CrossRefGoogle Scholar
  5. 5.
    M. Saito, M. Matsukawa, T. Asada, and Y. Watanabe, “Noninvasive assessment of arterial stiffness by pulse wave analysis,” IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 59, no. 11, pp. 2411–2419, Nov. 2012.CrossRefGoogle Scholar
  6. 6.
    P. Dupuis and C. Eugène, “Combined detection of respiratory and cardiac rhythm disorders by high-resolution differential cuff pressure measurement,” IEEE Trans. Instrum. Meas., vol. 49, no. 3, pp. 498–502, Jun. 2000.CrossRefGoogle Scholar
  7. 7.
    J. M. Kang, T. Yoo, and H. C. Kim, “A wrist-worn integrated health monitoring instrument with a tele-reporting device for telemedicine and telecare,” IEEE Trans. Instrum. Meas., vol. 55, no. 5, pp. 1655–1661, Oct. 2006.CrossRefGoogle Scholar
  8. 8.
    H. M. Haqqani, J. B. Morton, and J. M. Kalman, “Using the 12-lead ECG to localize the origin of atrial and ventricular tachycardias: Part 2—Ventricular tachycardia,” J. Cardiovascular Electrophysiol., vol. 20, no. 7, pp. 825–832, 2009.CrossRefGoogle Scholar
  9. 9.
    K. Humphreys, T. Ward, and C. Markham, “Noncontact simultaneous dual wavelength photoplethysmography: A further step toward noncontact pulse oximetry,” Rev. Sci. Instrum., vol. 78, no. 4, pp. 044304-1–044304-6, 2007.CrossRefGoogle Scholar
  10. 10.
    C.-C. Tyan, S.-H. Liu, J.-Y. Chen, J.-J. Chen, and W.-M. Liang, “A novel noninvasive measurement technique for analyzing the pressure pulse waveform of the radial artery,” IEEE Trans. Biomed. Eng., vol. 55, no. 1, pp. 288–297, Jan. 2008.CrossRefGoogle Scholar
  11. 11.
    L. Xu, D. Zhang, K. Wang, and L. Wang, “Arrhythmic pulses detection using Lempel–Ziv complexity analysis,” EURASIP J. Adv. Signal Process., vol. 2006, p. 018268, Mar. 2006.CrossRefGoogle Scholar
  12. 12.
    W. C. Tang and H. J. Sun, “The detected method of multipath of pulse conditions and research of transducer,” Chin. J. Traditional Med. Sci. Technol., vol. 7, no. 5, pp. 319–320, 2000.Google Scholar
  13. 13.
    L. Xu, K. Wang, and D. Zhang, “Modern research on traditional Chinese pulse diagnosis,” Eur. J. Oriental Med., vol. 4, no. 6, pp. 46–54, 2004.Google Scholar
  14. 14.
    K. Amano, H. Kasahara, H. Ishiyama, and K. Kodama, “Diagnostic apparatus for analyzing arterial pulse waves,” U.S. Patent US6 767 329 B2, Jul. 27, 2002.Google Scholar
  15. 15.
    J. P. Jaeb, D. W. Gilstad, and R. L. Branstetter, “Optical sensor for pulse oximeter,” U.S. Patent US4 880 304 A, Nov. 14, 1989.Google Scholar
  16. 16.
    L. S. Lovinsky, “Urgent problems of metrological assurance of optical pulse oximetry,” IEEE Trans. Instrum. Meas., vol. 55, no. 3, pp. 869–875, Jun. 2006.CrossRefGoogle Scholar
  17. 17.
    T. Kageyama, M. Kabuto, T. Kaneko, and N. Nishikido, “Accuracy of pulse rate variability parameters obtained from finger plethysmogram: A comparison with heart rate variability parameters obtained from ECG,” J. Occupat. Health, vol. 39, no. 2, pp. 154–155, 1997.CrossRefGoogle Scholar
  18. 18.
    M. R. Neuman, “Measurement of blood pressure [tutorial],” IEEE Pulse, vol. 2, no. 2, pp. 39–44, Mar./Apr. 2011.Google Scholar
  19. 19.
    M. Toda and M. L. Thompson, “Contact-type vibration sensors using curved clamped PVDF film,” IEEE Sensors J., vol. 6, no. 5, pp. 1170–1177, Oct. 2006.CrossRefGoogle Scholar
  20. 20.
    T. T. Selvan and M. S. Begum, “Nadi aridhal: A pulse based automated diagnostic system,” in Proc. 3rd Int. Conf. Electron. Comput. Technol. (ICECT), Apr. 2011, pp. 305–308.Google Scholar
  21. 21.
    P. Wang, W. Zuo, and D. Zhang, “A compound pressure signal acquisition system for multichannel wrist pulse signal analysis,” IEEE Trans. Instrum. Meas., vol. 63, no. 6, pp. 1556–1565, Jun. 2012.CrossRefGoogle Scholar
  22. 22.
    C.-S. Hu, Y.-F. Chung, C.-C. Yeh, and C.-H. Luo, “Temporal and spatial properties of arterial pulsation measurement using pressure sensor array,” Evidence-Based Complementary Alternative Med., vol. 2012, pp. 1–9, May 2011, Art. ID 745127.Google Scholar
  23. 23.
    E. Kaniusas et al., “Method for continuous nondisturbing monitoring of blood pressure by magnetoelastic skin curvature sensor and ECG,” IEEE Sensors J., vol. 6, no. 3, pp. 819–828, Jun. 2006.CrossRefGoogle Scholar
  24. 24.
    M. R. Ram, K. V. Madhav, E. H. Krishna, N. R. Komalla, and K. A. Reddy, “A novel approach for motion artifact reduction in PPG signals based on AS-LMS adaptive filter,” IEEE Trans. Instrum. Meas., vol. 61, no. 5, pp. 1445–1457, May 2012.CrossRefGoogle Scholar
  25. 25.
    K. Q. Wang, L. S. Xu, L. Wang, Z. G. Li, and Y. Z. Li, “Pulse baseline wander removal using wavelet approximation,” in Proc. Comput. Cardiol., Sep. 2003, pp. 605–608.Google Scholar
  26. 26.
    L. Xu, D. Zhang, and K. Wang, “Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms,” IEEE Trans. Biomed. Eng., vol. 52, no. 11, pp. 1973–1975, Nov. 2005.CrossRefGoogle Scholar
  27. 27.
    L. Xu, K. Wang, and D. Zhang, “Modern researches on pulse waveform of TCPD,” in Proc. IEEE Int. Conf. Commun., Circuits, Syst. West Sino Expo., Jun./Jul. 2002, pp. 1073–1077.Google Scholar
  28. 28.
    L. S. Xu, K. Q. Wang, and L. Wang, “Pulse waveforms classification based on wavelet network,” in Proc. IEEE-EMBS 27th Annu. Int. Conf. Eng. Med. Biol. Soc., Jan. 2006, pp. 4596–4599.Google Scholar
  29. 29.
    L. Wang, K.-Q. Wang, and L.-S. Xu, “Recognizing wrist pulse waveforms with improved dynamic time warping algorithm,” in Proc. Int. Conf. Mach. Learn. Cybern., Aug. 2004, pp. 3644–3649.Google Scholar
  30. 30.
    M. F. O’Rourke, A. Pauca, and X.-J. Jiang, “Pulse wave analysis,” Brit. J. Clin. Pharmacol., vol. 51, no. 6, pp. 507–522, 2001.CrossRefGoogle Scholar
  31. 31.
    L. Wang, K. Q. Wang, and L. S. Xu, “Lempel–Ziv decomposition based arrhythmic pulses recognition,” in Proc. 27th Int. Conf. IEEE Eng. Med. Biol. Soc., Shanghai, China, Sep. 2005, pp. 4606–4609.Google Scholar
  32. 32.
    L. Wang, K. Q. Wang, and L. S. Xu, “Lempel–Ziv decomposition based arrhythmic pulses recognition,” in Proc. IEEE-EMBS 27th Annu. Int. Conf. Eng. Med. Biol. Soc., Jan. 2006, pp. 4606–4609.Google Scholar
  33. 33.
    S. Lukman, Y. He, and S.-C. Hui, “Computational methods for traditional Chinese medicine: A survey,” Comput. Methods Programs Biomed., vol. 88, no. 3, pp. 283–294, Dec. 2007.CrossRefGoogle Scholar
  34. 34.
    M. Nitzan and H. Taitelbaum, “The measurement of oxygen saturation in arterial and venous blood,” IEEE Instrum. Meas. Mag., vol. 11, no. 3, pp. 9–15, Jun. 2008.CrossRefGoogle Scholar
  35. 35.
    M. Nitzan, “Automatic noninvasive measurement of arterial blood pressure,” IEEE Instrum. Meas. Mag., vol. 14, no. 1, pp. 32–37, Feb. 2011.CrossRefGoogle Scholar
  36. 36.
    L. Xu, K. Wang, D. Zhang, Y. Li, Z. Wan, and J. Wang, “Objectifying researches on traditional Chinese pulse diagnosis,” Inform. Med. Slovenica, vol. 8, no. 1, pp. 56–63, 2003.Google Scholar
  37. 37.
    X. Lisheng, W. Kuanquan, D. Zhang, and S. Cheng, “Adaptive baseline wander removal in the pulse waveform,” in Proc. 15th IEEE Symp. Comput.-Based Med. Syst. (CBMS), Jun. 2002, pp. 143–148.Google Scholar
  38. 38.
    A. J. Joshi, S. Chandran, V. K. Jayaraman, and B. D. Kulkarni, “Multifractality in arterial pulse,” in Proc. 19th Int. Conf. Pattern Recognit. (ICPR), Dec. 2008, pp. 1–4.Google Scholar
  39. 39.
    K.-Q. Wang, L.-S. Xu, D. Zhang, and C. Shi, “TCPD based pulse monitoring and analyzing,” in Proc. Int. Conf. Mach. Learn. Cybern., 2002, pp. 1366–1370.Google Scholar
  40. 40.
    Y. Chen, L. Zhang, D. Zhang, and D. Zhang, “Wrist pulse signal diagnosis using modified Gaussian models and fuzzy C-means classification,” Med. Eng. Phys., vol. 31, no. 10, pp. 1283–1289, 2009.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • David Zhang
    • 1
  • Wangmeng Zuo
    • 2
  • Peng Wang
    • 3
  1. 1.School of Science and EngineeringThe Chinese University of Hong KongShenzhenChina
  2. 2.Harbin Institute of TechnologyHarbinChina
  3. 3.Northeast Agricultural UniversityHarbinChina

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