A touchless SpO2 estimation method based on the analysis of dorsal hand video streams
To improve the measurement efficiency and accuracy of peripheral blood oxygen saturation(SpO2),a touchless periph-eral SpO2 estimation method was proposed based on the analysis of dorsal hand videos.By improving the Gaussian pyramid and magnifi-cation factor in Eulerian video magnification,the interference of light noise was reduced,and the region of interest(ROI)of the frames in the dorsal hand video was magnified effectively.Then,the red and blue channels of the magnified video frames were extracted and the absorbance ratio method was used to calculate SpO2 values.At last,experimental validation was performed on self-produced dataset under two respiratory states.The experimental results showed that the proposed method achieved an average root mean square error(RMSE)of 0.48%for SpO2 measurements,which exhibited a high degree of consistency when compared to finger-clip pulse oxime-try,and gender was found to have effects on the measurement error of SpO2.It is convenient to embed the proposed method into porta-ble video capturing equipment such as smartphone,and has a good application prospect for the daily monitoring of SpO2.
Peripheral oxygen saturationDorsal hand video analysisEulerian video magnificationSmart health monitoring
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