Oxygen Saturation Measurement using Hyperspectral Imaging targeting Real-Time Monitoring

被引:5
|
作者
Martinez-Vega, Beatriz [1 ]
Leon, Raquel [1 ]
Fabelo, Himar [1 ]
Ortega, Samuel [1 ]
Callico, Gustavo M. [1 ]
Suarez-Vega, David [2 ,3 ]
Clavo, Bernardino [2 ,3 ]
机构
[1] Univ Las Palmas Gran Canaria, Inst Appl Microelect IUMA, Las Palmas Gran Canaria, Spain
[2] Hosp Univ Gran Canaria Doctor Negrin, Res Unit, Las Palmas Gran Canaria, Spain
[3] Hosp Univ Gran Canaria Doctor Negrin, Chron Pain Unit, Las Palmas Gran Canaria, Spain
来源
2021 24TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD 2021) | 2021年
基金
欧盟地平线“2020”;
关键词
Hyperspectral imaging; Infrared imaging; Oxygen saturation; Tissue Oxygenation; Oxygenation Maps; Thermal imaging; TISSUE; MOUSE;
D O I
10.1109/DSD53832.2021.00078
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Oxygen saturation (StO(2)) measurement allows to detect different clinical conditions related with the low oxygenation of tissues or is used to monitor the quality and safety of organ transplantation. This study is focused on the visualization and measurement of StO(2) using hyperspectral imaging (HSI) through non-contact skin captures, targeting a potential real-time monitoring application. A customized acquisition system composed by a hyperspectral camera (covering the 470-900 nm spectral range) and a thermal camera was developed to capture images of hands in a non-contact fashion. An experimental procedure was established to measure the evolution of StO(2) in healthy hands where a compression of the index finger or brachial artery were performed. StO(2) measurements were performed in normal, compression, and reperfusion states. Two mathematical models with different sets of wavelengths were evaluated. The results show the proposed models, which employed two wavelengths (660 and 880 nm), obtain reliable StO(2) values, providing a potential non-contact imaging tool for StO(2) measurement.
引用
收藏
页码:480 / 487
页数:8
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