Open Access

ARTICLE

Non-Contact Blood Pressure Measurement Based on IPPG

by Jiancheng Zou, Shouyu Zhou, Bailin Ge, Xin Yang

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%.

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Keywords

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