Abstract
Pulse rate variability (PRV) is a small change in the heart beat cycle that can be obtained from the pulse signal. PRV has important application value in clinical diagnosis, disease monitoring, and prevention. PRV can be conveniently extracted from the fingertip pulse signal obtained by a photoplethysmography (PPG) pulse sensor. However, this method requires clamping the fingertip during the measurement, which is uncomfortable for the monitored person and is not conducive to continuous PRV detection in family monitoring or in a specific environment, such as driving. Thus, in this paper, we propose a pulse sensor with a soft polyvinylidene fluoride (PVDF) piezoelectric film. The non-invasive pulse signals can be collected by lightly pressing the fingertip on the sensor. In the experiment, two PVDF pulse sensors were used to collect the pulse waves from the left wrist and left forefinger; simultaneously, an infrared PPG pulse sensor measures the pulse wave of the right forefinger. The pulse waves measured by the three methods were further filtered to extract PRV signals and compare the differences. The results show that the PRV signal obtained by the PVDF sensor pressing measurement method has good consistency with the PRV signal obtained by PPG measurement, and the PVDF pulse sensor can be conveniently applied in wearable devices and portable medical devices to obtain the PRV.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Makivi, B., Niki, M.D., Willis, M.S.: . Heart rate variability (HRV) as a tool for diagnostic and monitoring performance in sport and physical activities. J. Exerc. Physiol. 16(3), 103–131 (2013)
Baek, H.J., Shin, J.W.: Effect of missing inter-beat interval data on heart rate variability analysis using wrist-worn wearables. J. Med. Syst. 41(10), 147 (2017)
Shi, B., Chen, F., Chen, J., et al.: Analysis of pulse rate variability and its application to wearable smart devices. Chin. J. Med. Instrum. 39(2), 95–97 (2015)
Leonhardt, S., Leicht, L., Teichmann, D.: Unobtrusive vital sign monitoring in automotive environments—a review. Sensors 18(9), 3080 (2018)
Yu, E., He, D., Su, Y., et al.: Feasibility analysis for pulse rate variability to replace heart rate variability of the healthy subjects. In: 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1065 –1070 (2013)
Peralta, E., Lazaro, J., Bailon, R.:. Optimal fiducial points for pulse rate variability analysis from forehead and finger PPG signals. Physiol.Meas. 40(2), p. 025007 (2019)
Haseda, Y., et al.: Measurement of pulse wave signals and blood pressure by a plastic optical fiber FBG sensor. Sensors-Basel 19, p. 5088 (2019)
Nguyen, T.-V., Ichiki, M.: MEMS-based sensor for simultaneous measurement of pulse wave and respiration rate. Sensors-Basel 19, p. 4942 (2019)
Wang, W., Xu, Y., Zeng, G., et al.: Extraction and dual domain analysis of pulse wave signals. Electron. Technol. Appl. (2019)
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 & Image Processing (2017)
Chuang, C.-C., Ye, J.-J., Lin, W.-C., Lee, K.-T., Tai, Y.-T.: Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient. J. Clin. Monit. Comput. 29(6), 801–806 (2015). https://doi.org/10.1007/s10877-015-9669-8
Fallow, B.A., Tarumi, T.: Influence of skin type and wavelength on light wave reflectance. J. Clin. Monit. Comput. 27(3), 313–317 (2013). https://doi.org/10.1007/s10877-013-9436-7
Wusk, G., Gabler, H.: Non-invasive detection of respiration and heart rate with a vehicle seat sensor. Sensors (Basel) 18, 1463 (2018)
Yeragani, V.K., Kumar, R., Bar, K.J., et al.: Exaggerated differences in pulse wave velocity between left and right sides among patients with anxiety disorders and cardiovascular disease. Psychosom. Med. 69(8), 717–722 (2007)
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)
Sun, Y., Yu, X.B.: An innovative nonintrusive driver assistance system for vital signal monitoring. IEEE J. Biomed. Health Inform. 18(6), 1932–1939 (2014)
Chu, Y., Zhong, J., Liu, H., et al.: Human pulse diagnosis for medical assessments using a wearable piezoelectret sensing system. Adv. Funct. Mater. 28(40), 1803413.1–1803413.10 (2018)
Gil, E., et al.: Photoplethysmography Pulse Rate Variability as a Surrogate Measurement of Heart Rate Variability during Non-Stationary Conditions. Physiol. Meas. 31(9), 1271–1290 (2010)
Rajala, S., et al.: Pulse arrival time (PAT) measurement based on arm ECG and finger PPG signals - comparison of PPG feature detection methods for PAT calculation. In: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), vol. 2017, pp. 250–253 (2017)
Bland, J.M., Altman, D.G.: Measuring agreement in method comparison studies. Stat. Methods Med. Res. 8(2), 135–160 (1999)
CLSI.: Estimation of total analytical error for clinical laboratory methods; approved guideline. CLSI document EP21-A. Wayne, PA: Clinical and Laboratory Standards Institute (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Hu, D., Zhou, N., Xie, C., Gao, L. (2020). Non-invasive Measurement of Pulse Rate Variability Signals by a PVDF Pulse Sensor. In: Chan, C.S., et al. Intelligent Robotics and Applications. ICIRA 2020. Lecture Notes in Computer Science(), vol 12595. Springer, Cham. https://doi.org/10.1007/978-3-030-66645-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-66645-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66644-6
Online ISBN: 978-3-030-66645-3
eBook Packages: Computer ScienceComputer Science (R0)