Abstract
Blood pressure (BP) is an important physiological signal of human body. How to measure blood pressure is a meaningful problem for detection of human health. The most commonly used method is cuff based method. But this method can not used for continuous blood pressure measurement. For this concern, a Photoplethysmogram-based method for continuous blood pressure measurement was presented. Many researches have found that there are some relations exist between some Photoplethysmogram (PPG) signal features and human blood pressure. We use an artificial neural network model and a cluster method to make some estimation on human blood pressure based on Photoplethysmogram signal, and our result shows that this method can be used for noninvasive continuous blood pressure measurement in future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fortino, G., Giampà , V.: PPG-based methods for non invasive and continuous blood pressure measurement: an overview and development issues in body sensor networks. In: IEEE International Workshop on Medical Measurements and Applications Proceedings, pp. 10–13 (2010)
Barbe, K., Van Moer, W., Schoors, D.: Analyzing the windkessel model as a potential candidate for correcting oscillometric blood-pressure measurements. IEEE Trans. Instrum. Meas. 61(2), 411–418 (2012)
Rd, R.M.: Noninvasive automatic determination of mean arterial pressure. Med. Biol. Eng. Comput. 17(1), 11–18 (1979)
Drzewiecki, G.M., Melbin, J., Noordergraaf, A.: The Korotkoff sound. Ann. Biomed. Eng. 17(4), 325–359 (1989)
Muehlsteff, J., Aubert, X.L., Schuett, M.: Cuffless estimation of systolic blood pressure for short effort bicycle tests: the prominent role of the pre-ejection period. In: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5088–5092 (2006)
Kachuee, M., Kiani, M.M., Mohammadzade, H., et al.: Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time. In: IEEE International Symposium on Circuits and Systems, pp. 1006–1009. IEEE (2015)
Gu, W.B., Poon, C.C.Y., Zhang, Y.T.: A novel parameter from PPG dicrotic notch for estimation of systolic blood pressure using pulse transit time. In: International Summer School and Symposium on Medical Devices and Biosensors, Isss-Mdbs, pp. 86–88. IEEE (2008)
Meigas, K., Kattai, R., Lass, J.: Continuous blood pressure monitoring using pulse wave delay. In: Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 4, pp. 3171–3174 (2001)
Cattivelli, F.S., Garudadri, H.: Noninvasive cuffless estimation of blood pressure from pulse arrival time and heart rate with adaptive calibration. In: International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2009, Berkeley, CA, USA, 3–5 June, pp. 114–119 (2009)
Bhavirisetty, R.T.: Calculation of blood pulse transit time from PPG (2012)
Hassan, M.K.B.A., Mashor, M.Y., Nasir, N.F.M., et al.: Measuring blood pressure using a photoplethysmography approach. Ifmbe Proc. 21(1), 591–594 (2007)
Yan, Y.S., Zhang, Y.T.: Noninvasive estimation of blood pressure using photoplethysmographic signals in the period domain. In: Conference Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3583–3584. IEEE Engineering in Medicine and Biology Society (2005)
Kurylyak, Y., Lamonaca, F., Grimaldi, D.: A neural network-based method for continuous blood pressure estimation from a PPG signal. In: Conference Record - IEEE Instrumentation and Measurement Technology Conference, vol. 80(11), pp. 280–283 (2013)
Gunasekaran, V.: Continuous non-invasive arterial blood pressure measurement using photoplethysmography. Electronic Theses & Dissertations (2013)
Yoon, Y.Z., Yoon, G.W.: Nonconstrained blood pressure measurement by photoplethysmography. J. Opt. Soc. Korea 10(2), 91–95 (2006)
Elgendi, M.: On the analysis of fingertip Photoplethysmogram signals. Curr. Cardiol. Rev. 8(1), 14–25 (2012)
Millasseau, S.C., Ritter, J.M., Takazawa, K., et al.: Contour analysis of the photoplethysmographic pulse measured at the finger. J. Hypertens. 24(8), 1449–1456 (2006)
Clifford, G.D., Scott, D.J., Villarroel, M., et al.: User guide and documentation for the MIMIC II database. Mimic (2009)
Lee, J., Scott, D.J., Villarroel, M., et al.: Open-access MIMIC-II database for intensive care research. In: International Conference of the IEEE Engineering in Medicine & Biology Society, pp. 8315–8318 (2011)
Samria, R., Jain, R., Jha, A., et al.: Noninvasive cuff’less estimation of blood pressure using Photoplethysmography without electrocardiograph measurement. In: Region 10 Symposium, pp. 254–257. IEEE (2014)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (Nos. 61672181, 61202090, 61272184), Natural Science Foundation of Heilongjiang Province (No. F2016005), the Science and Technology Innovation Talents Special Fund of Harbin (Nos. 2016RAXXJ036, 2015RQQXJ067), the opening found of Key Laboratory of Machine Perception (Ministry of Education), Peking University (K-2016-02).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Miao, Y., Zhang, Z., Meng, L., Xie, X., Pan, H. (2017). A Cluster Method to Noninvasive Continuous Blood Pressure Measurement Using PPG. In: Xing, C., Zhang, Y., Liang, Y. (eds) Smart Health. ICSH 2016. Lecture Notes in Computer Science(), vol 10219. Springer, Cham. https://doi.org/10.1007/978-3-319-59858-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-59858-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59857-4
Online ISBN: 978-3-319-59858-1
eBook Packages: Computer ScienceComputer Science (R0)