Real-time Oxygen Saturation Measurement Based on Reflective Region Removal Technology

被引：0
|
作者：
Zou, Jiancheng [1 ]
Chen, Yupeng [1 ]
Ge, Bailin [1 ]
机构：
[1] North China Univ Technol, Inst Image Proc & Pattern Recognit, 5 Jinyuanzhuang Rd, Beijing, Peoples R China
来源：
ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2019) | 2019年 / 11179卷
关键词：
Detection of reflective area; blood oxygen saturation; imaging photoplethysmography;
D O I：
10.1117/12.2539799
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Blood oxygen saturation is an important physiological parameter to measure human health. The oxygen saturation can be measured in real time through an optical lens with high accuracy. However, when there is the light reflection of the measured area, the accuracy of the measurement results will fluctuate, leading to the instability of the measurement results. In this paper, we improved the original algorithm by detecting and removing the highlight region. The experimental results show that the accuracy of the improved method is higher than that of the traditional method in the case of specular reflection and the stability of the measurement results is enhanced.
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页数：7
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