@Article{jnm.2021.017764,
AUTHOR = {Jiancheng Zou, Shouyu Zhou, Bailin Ge, Xin Yang},
TITLE = {Non-Contact Blood Pressure Measurement Based on IPPG},
JOURNAL = {Journal of New Media},
VOLUME = {3},
YEAR = {2021},
NUMBER = {2},
PAGES = {41--51},
URL = {http://www.techscience.com/JNM/v3n2/42388},
ISSN = {2579-0129},
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%.},
DOI = {10.32604/jnm.2021.017764}
}