Abstract
Blood pressure is often measured using a device called a sphygmomanometer, a stethoscope, and a blood pressure cuff. All the existing manual or automatic measuring techniques of blood pressure are based on this principle, which is not convenient for continuous monitoring of blood pressure. In this paper, we proposed the regression model which could estimate unspecified people’s systolic blood pressure (SBP) conveniently and continuously and checked its accuracy with blood pressure cuff. The method for estimating each individual SBP by using only pulse wave transit time (PWTT) has been studied, but it is difficult to estimate unspecified people’s SBP with the method using only PWTT. This study examines the relationships between arterial blood pressure and certain features of the photoplethysmographic (PPG) signals from 10 healthy subjects. The experiment involved three sessions, which is the resting period, exercise period and recovery period.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
I. G. Webster, Medical Instrumentation: Application and design, third edition, New York: Wiley, 1998.
[M. H. Pollak and P. A. Obrist, “Aortic-radial pulse transit time and ECG Q-wave to radial pulse wave interval as indices at beat by-beat blood pressure change”, Psychophysiology, vol. 20, pp. 21–28, 1983.
L. A. Geddes, M. H. Voelz, C. F. Babbs, J. D. Bourland and W. A. Tacker, “Pulse transit time as an indicator of arterial blood pressure”, Psychophysiology, vol. 18, pp. 71–74, 1981
A. A. Robert A. S. John. M.D. Dennis, A. W. Mark and C. B. Taylor, “The covariation of blood pressure and pulse transit time in hypertensive patients”, Psychophysiology, vol. 18, pp. 301–306, 1981.
G. V. Mane, C.R. La, 1. Van lanes and D.W. Johnston, “The relationship between arterial blood pressure and puke transit time during dynamic and static exercise”, Psychophysiology, vol. 21, pp. 521–527, 1984
I. Kerola, V. Konna and R. Sepponen, “Noninvasive blood pressure data acquisition employing pulse transit time detection,” in Proceedings of the 18i’h Annual International Conference o/ the IEEE Medicine and Biology Society, 1996, vol.: 3, pp: 1308–1309.
Allen J and Murray A 1993 Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms Physiol. Meas. 14 13–22
K. W. Chan and Y. T. Zhang, “Noninvasive and cuffless measurement of blood pressure for telemedicine,” 2001 Proceeding of the 23 rd Annual EMBS International Conference, Istanbul, Turkey, pp. 3592–3593, 2001
A. Ligtenberg and M. Kunt, “A robust-digital QRS-detection algorithm for arrhythmia monitoring.” Comput. Biomed. Res., vol.16, pp. 273–286, 1983
Jago J R and Murray A 1988 Repeatability of peripheral pulse measurements on ears, fingers and toes using photoelectric plethysmography Clin. Phys. Physiol. Meas. 9 319–29
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hassan, M.K.B.A., Mashor, M.Y., Nasir, N.F.M., Mohamed, S. (2008). Measuring Blood Pressure Using a Photoplethysmography Approach. In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_148
Download citation
DOI: https://doi.org/10.1007/978-3-540-69139-6_148
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69138-9
Online ISBN: 978-3-540-69139-6
eBook Packages: EngineeringEngineering (R0)