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Fingertip Pulse Wave Detection and Analysis Based on PVDF Piezoelectric Thin Film Sensor

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Abstract

The pulse wave contains very rich cardiovascular physiological and pathological information, its waveform amplitude and shape can reflect the physiological and pathological state of human cardiovascular system such as heart rate and blood pressure. Monitoring of pulse wave has important clinical diagnostic value in traditional Chinese medicine and modern medicine. However, the characteristics of weak pulse signal and vulnerable to interference make the extraction of useful fingertip pulse signals a difficult task. Here we propose a type of sensor based on polyvinylidene fluoride (PVDF) piezoelectric thin film that can collect fingertip pulse signal; By zero-phase filtering and de-noising, the baseline wander and interference in fingertip pulse signal can be successfully eliminated; In order to verify the validity, practicality of the fingertip pulse signal, the pulse signal with the fingertip is compared with those obtained with the wrist artery, and the characteristics of these two pulse signals are finally further analyzed in time domain and frequency domain. It is shown that the proposed piezoelectric film sensor can effectively detect the pulse fingertip signal. It is also shown the fingertip pulse signal amplitude is smaller than those obtained with the radial artery, but the measured pulse number in unit time with the fingertip is consistent with the radial artery measured result. From the analysis in frequency domain, the pulse fingertip signal focus on the low frequency component, and contains the main physiological information of human body, it is also more convenient access than the radial artery signal.

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References

  1. Hu, C.-S., Chung, Y.-F., Yeh, C.-C., Luo, C.-H.: Temporal and spatial properties of arterial pulsation measurement using pressure sensor array. Evid. Based Complement. Altern. Med. 2012, 9 (2012)

    Google Scholar 

  2. Lee, J.-Y., Jang, M., Shin, S.-H.: Study on the depth, rate, shape, and strength of pulse with cardiovascular simulator. Evid. Based Complement. Altern. Med. 2017, 11 (2017)

    Google Scholar 

  3. Shen, Y.: Analysis of cardiovascular basic parameters based on brachial artery pulse wave. Northeastern University (2012)

    Google Scholar 

  4. Chu, Y.W., Luo, C.H., Chung, Y.F., et al.: Using an array sensor to determine differences in pulse diagnosis—three positions and nine indicators. Eur. J. Integr. Med. 6(5), 516–523 (2014)

    Article  Google Scholar 

  5. Wang, D., Zhang, D., Lu, G.: A robust signal preprocessing framework for wrist pulse analysis. Biomed. Signal Process. Control 23, 62–75 (2016)

    Article  Google Scholar 

  6. Liu, S., Hua, L., Lv, P., Yu, Y., Gao, Y., Sheng, X.: A pulse condition reproduction apparatus for remote traditional Chinese medicine. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds.) ICIRA 2018. LNCS (LNAI), vol. 10984, pp. 453–464. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-97586-3_41

    Chapter  Google Scholar 

  7. Ting, L., Gang, Y.: Development of a non-invasive pulse wave detection and analysis system. Biomed. Eng. J. 25(5), 1059–1062 (2008)

    Google Scholar 

  8. Ding, X.Y., Chang, Q., Chao, S.: Study on the extract method of time domain characteristic parameters of pulse wave. In: IEEE International Conference on Signal and Image Processing (2017)

    Google Scholar 

  9. Xing, X., Sun, M.: Optical blood pressure estimation with photoplethysmography and FFT-based neural networks. Biomed. Opt. Express 7(8), 3007–3020 (2016)

    Article  Google Scholar 

  10. Li, Z.: Design and implementation of PVDF-based sleep monitoring system (2015)

    Google Scholar 

  11. Ma, Y., Wang, Y., Zhang, H., et al.: Real-time monitoring of heart rate respiration rate based on piezoelectric thin film sensor. Sens. Microsyst. 37(316(06)), 124–126 (2018)

    Google Scholar 

  12. Liu, Q.: Research on sleepiness detection method based on ECG pulse signal. Lanzhou University of Technology (2012)

    Google Scholar 

  13. Han, Q.: Nonlinear analysis of pulse signal and its influence on different emotions and environment. Zhejiang University (2007)

    Google Scholar 

  14. Abulkhair, M.F., Salman, H.A., Ibrahim, L.F.: Using mobile platform to detect and alerts driver fatigue. Int. J. Comput. Appl. 123(8), 27–35 (2015)

    Google Scholar 

  15. Wang, W., Xu, Y., Zeng, G., et al.: Extraction and dual domain analysis of pulse wave signals. Electron. Technol. Appl. (2019)

    Google Scholar 

  16. Sun, Y., Yu, X.: An innovative non-intrusive driver assistance system for vital signal monitoring. J. Biomed. Health Inf. 18(6), 1932–1939 (2014)

    Article  MathSciNet  Google Scholar 

  17. Yao, C., Zhong, J., Liu, H., et al.: Human pulse diagnosis for medical assessments using a wearable piezoelectret sensing system. Adv. Funct. Mater. 28(40), 1803413 (2018)

    Article  Google Scholar 

  18. Jayasenan, J.S., Smitha, P.S.: Driver drowsiness detection system. IOSR J. VLSI Sig. Process 4(1), 34–37 (2014)

    Google Scholar 

  19. Zhou, Y., Xu, Q., Kong, W.: Study on analysis and identification of pulse characteristics. J. Biomed. Eng. 23(3), 505–508 (2006)

    Google Scholar 

  20. Ye, N., Sun, Y.G., Yang, D.: Noninvasive heart rate variability detection device for fatigue driving detection system. Appl. Mech. Mater. 246–247, 194–198 (2012)

    Article  Google Scholar 

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Correspondence to Lifu Gao .

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Hu, D., Zhou, N., Wang, D., Xie, C., Gao, L. (2019). Fingertip Pulse Wave Detection and Analysis Based on PVDF Piezoelectric Thin Film Sensor. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11741. Springer, Cham. https://doi.org/10.1007/978-3-030-27532-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-27532-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27531-0

  • Online ISBN: 978-3-030-27532-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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