Open Access
ARTICLE
Non-Contact Blood Pressure Measurement Based on IPPG
Jiancheng Zou1, Shouyu Zhou1,*, Bailin Ge1, Xin Yang2
1 College of Science, North China University of Technology, Beijing, 100041, China
2 Department of Computer Science, Middle Tennessee State University, Murfreesboro, TN 37132, USA
* Corresponding Author: Shouyu Zhou. Email: 1915754861@qq. com
Journal of New Media 2021, 3(2), 41-51. https://doi.org/10.32604/jnm.2021.017764
Received 10 February 2021; Accepted 15 March 2021; Issue published 23 April 2021
Abstract
Blood pressure is an important physiological parameter to reflect
human vital signs. In order to achieve the non-contact dynamic blood pressure
acquisition based on ordinary optical camera, a theoretical understanding of the
functional relationship between blood pressure and pulse wave signal conduction
time. And through imaging photoelectric plethysmography (IPPG), pulse wave
signal conduction time of forehead and hand was obtained with ordinary optical
camera. First, the pulse wave conduction time was obtained by recording the
video with an ordinary optical camera. Second, real-time blood pressure values
were collected. Finally, based on the relationship between blood pressure and
pulse wave conduction time, a non-contact blood pressure measurement
prediction model was obtained through neural network fitting. So that noncontact blood pressure measurement with optical camera could be completed.
The method in this paper has several advantages, such as low requirements on
measuring equipment, low cost, and simple operation. It can let people get rid of
the discomfort caused by measuring equipment such as cuff and can measure
blood pressure at any time. The predicted blood pressure results were compared
with an Omron wrist electronic sphygmomanometer. The calculated error of
systolic blood pressure is –9.28%~3.16%, and the error of diastolic blood
pressure is –9.84~4.35%.
Keywords
Cite This Article
J. Zou, S. Zhou, B. Ge and X. Yang, "Non-contact blood pressure measurement based on ippg,"
Journal of New Media, vol. 3, no.2, pp. 41–51, 2021.