Optimizing Blood Oxygen Saturation Measurement Accuracy and Consistency Using Fingertip Acceleration and Blood Perfusion Index

Blood oxygen saturation is an important physiological parameter to detect OSAHS. However, the noninvasive blood oxygen saturation measurement method is susceptible to various disturbances. Obtaining stable and reliable blood oxygen saturation data is a great challenge. This paper proposed a blood oxygen saturation measurement optimizing method based on fingertip acceleration and blood perfusion index analysis to eliminate the three common abnormal types in blood oxygen saturation data. Based on the acceleration sensor embedded on the device and blood perfusion index, we divided the obtained data into sleep data part and sober data part, and selected the sleep data part. Then we classified the common abnormal types in the blood oxygen saturation data into three categories, and proposed methods to deal with them respectively. Finally, we compared the effect of the treatment by contrast experiment. Through three different processing methods, we effectively eliminated some abnormal types that may affect the accuracy of OSAHS detection.