Non-invasive blood oxygen saturation detection with video image

The blood oxygen saturation (SpO2) detection is of great importance in medical science due to its relationship with cardiopulmonary function. Determination of SpO2 by infrared spectroscopy is a commonly used method. In this paper, a novel non-invasive blood oxygen saturation detection method with video image is proposed. Firstly, the index fingertip is illuminated by LEDs with four wavelengths. Then, the reflected light is collected by an image sensor. Meanwhile, a finger clip pulse oximeter is adopted to monitor SpO2 changes. Finally, a color regression model is established with the obtained RGB values and the corresponding SpO2. Furthermore, the influence of quantization noise and other factors is analyzed. Experiments with multiple samples are carried out using the proposed method. The results show that the relative errors between the predicted and reference values are within 5%. Compared with traditional methods, the proposed method can effectively detect the SpO2 in a specific area instead of a single point. In addition, it provides an alternative approach that guides an SpO2 detection device for daily use.