Photoplethysmography Signal Acquisition Based on Finger Video
LEI Heng-bo1, MO Jing-qing1,GUO You-da2, XING Xiao-man1,XU Ya-jie1, SUN Ming-shan1
1. Suzhou Institute of Biomedical
Engineering and Technology, Chinese
Academy of Sciences, Suzhou Jiangsu
215163, China; 2. School of Electronic and
Optical Engineering, Nanjing University
of Science and Technology, Nanjing
Jiangsu 210094, China
Abstract：Photoplethysmography (PPG) contains some important human physiological information. In
order to easily and accurately obtain the PPG of the body, the video of the finger was obtained by using
the cell phone camera. And the number of each frame image pixel gray values greater than a certain
threshold could reflect the blood volume variation, and the timing curve of PPG was obtained. Then, with
the empirical mode decomposition method, the timing curve was broken down into a series of intrinsic
mode function (IMF). Finally, through the frequency domain analysis, the IMF in the pulse frequency
range was reconstructed, achieving the PPG signal without the low-frequency and high-frequency noise
baseline drift. The results calculated by using the Bland-Altman method achieved above 0.95 consistency
with the PPG data synchronously measured by using the existing medical equipment. This widely
applied method was of great importance for obtaining the physiological information based on PPG in
telemedicine.
雷恒波1，莫镜清1，郭友达2，邢晓曼1，徐雅洁1，孙明山1. 基于手指视频的光电容积脉搏波信号获取[J]. 中国医疗设备, 2016, 31(11): 42-45.
LEI Heng-bo1, MO Jing-qing1,GUO You-da2, XING Xiao-man1,XU Ya-jie1, SUN Ming-shan1. Photoplethysmography Signal Acquisition Based on Finger Video. China Medical Devices, 2016, 31(11): 42-45.
