A new oxygen saturation images of iris tissue

Yi Hsuan Wang, Chia Jiun Hung, Chih Hsiung Shen, Shu Jung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


Oxygen saturation is an indicator of oxygen transport in the body, and indicates if sufficient oxygen is being supplied to the body, especially to the skin and surface. Based on a new proposed algorithm of NIR image correction of the arterial oxygen saturation (SpO2), we have developed a two-dimensional oxyhemoglobin saturation measurement which is demonstrated by using the combination technique of multispectral imaging and a proposed calibration method. Dual-spectral images are acquired under the uniform illumination at the wavelengths for 633 and 940 nm to derive the images diffusely reflected light from the skin tissue. For calibrating the superficially reflected light from the skin, the skin tissue and a proposed diffusive material for reflection comparison are all illuminated by LED array light. After the 2D reflection images are taken, a new algorithm of oxygen saturation images are developed to calibrate and build two dimension information of oxygen saturation. The haemoglobin oxygen saturation levels corresponding to all image pixels are estimated by the parameters derived from the proposed calibration method with respect to calibration conditions of different oxygenated haemoglobin. We successfully develop a new calibration algorithm by using the charge-coupled device (CCD) camera to receive the images. The system adopts two proper red and near-infrared wavelengths to derive the iris tissue blood oxygen saturation and investigate their correlation for medical diagnosis.

Original languageEnglish
Title of host publicationIEEE Sensors 2010 Conference, SENSORS 2010
Number of pages4
Publication statusPublished - 2010 Dec 1
Event9th IEEE Sensors Conference 2010, SENSORS 2010 - Waikoloa, HI, United States
Duration: 2010 Nov 12010 Nov 4

Publication series

NameProceedings of IEEE Sensors


Other9th IEEE Sensors Conference 2010, SENSORS 2010
CountryUnited States
CityWaikoloa, HI

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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