基于手指视频的光电容积脉搏波信号获取  

Photoplethysmography Signal Acquisition Based on Finger Video

作　　者：雷恒波 莫镜清 郭友达 邢晓曼[1] 徐雅洁[1] 孙明山[1] 

机构地区：[1]中国科学院苏州生物医学工程技术研究所,江苏苏州215163 [2]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《中国医疗设备》2016年第11期42-45,共4页China Medical Devices

摘　　要：光电容积脉搏波(Photoplethysmography,PPG)中包含着人体重要的生理信息,为了方便、准确地获得人体的PPG信号,本文利用手机摄像头采集手指视频,以每帧图片像素灰度值大于一定阈值的像素数目反映血液容积的变化,得到PPG曲线时序图;然后,利用经验模态分解法将脉搏波信号分解为一系列本征模函数(Intrinsic Mode Function,IMF);最后通过频域分析,将处于脉搏波频率范围的IMF进行信号重构,就得到了消除低频基线漂移和高频噪声的PPG信号。利用Bland-Altman法计算该结果与现有医疗仪器同步测得的PPG数据一致性在0.95以上。这种方法适用范围广,特别是对远程医疗中基于PPG的人体生理信息的获得具有重要意义。Photoplethysmography （PPG） contains some important human physiological information. Inorder to easily and accurately obtain the PPG of the body, the video of the finger was obtained by usingthe cell phone camera. And the number of each frame image pixel gray values greater than a certainthreshold could reflect the blood volume variation, and the timing curve of PPG was obtained. Then, withthe empirical mode decomposition method, the timing curve was broken down into a series of intrinsicmode function （IMF）. Finally, through the frequency domain analysis, the IMF in the pulse frequencyrange was reconstructed, achieving the PPG signal without the low-frequency and high-frequency noisebaseline drift. The results calculated by using the Bland-Altman method achieved above 0.95 consistencywith the PPG data synchronously measured by using the existing medical equipment. This widelyapplied method was of great importance for obtaining the physiological information based on PPG intelemedicine.

关 键 词：摄像头 光电容积脉搏波 经验模态分解法 本征模函数 远程医疗 

分 类 号：R318[医药卫生—生物医学工程]