Robust efficient estimation of heart rate pulse from video

被引：65
|
作者：
Xu, Shuchang [1 ,3 ]
Sun, Lingyun [2 ]
Rohde, Gustavo Kunde [3 ]
机构：
[1] Hangzhou Normal Univ, Dept Informat Sci & Engn, Hangzhou 311121, Zhejiang, Peoples R China
[2] Zhejiang Univ, Dept Comp Sci, Hangzhou 310058, Zhejiang, Peoples R China
[3] Carnegie Mellon Univ, Dept Biomed Engn, Ctr Bioimage Informat, Pittsburgh, PA USA
来源：
BIOMEDICAL OPTICS EXPRESS | 2014年 / 5卷 / 04期
基金：
中国国家自然科学基金;
关键词：
IMAGE; SKIN; NONCONTACT; LIGHT;
D O I：
10.1364/BOE.5.001124
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
We describe a simple but robust algorithm for estimating the heart rate pulse from video sequences containing human skin in real time. Based on a model of light interaction with human skin, we define the change of blood concentration due to arterial pulsation as a pixel quotient in log space, and successfully use the derived signal for computing the pulse heart rate. Various experiments with different cameras, different illumination condition, and different skin locations were conducted to demonstrate the effectiveness and robustness of the proposed algorithm. Examples computed with normal illumination show the algorithm is comparable with pulse oximeter devices both in accuracy and sensitivity. (C) 2014 Optical Society of America
引用
收藏
页码：1124 / 1135
页数：12
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