Abstract
Dynamic monitoring of blood oxygen saturation value is an important method for the prevention and treatment of chronic cardiovascular disease. In order to meet the design requirements of wearable mobile medical, this paper uses the main controller to read, filter, and calculate pulse rate and blood oxygen value, and saturate the pulse signal and blood oxygen through the Bluetooth low-power module. The degree value and pulse rate value are transmitted to the Android smartphone, and the APP on the Android phone side manages the user’s physiological parameters and establishes a personal health file. Monitoring of blood oxygen saturation in a dynamic environment can be affected by severe motion disturbances. Aiming at this problem, this paper proposes a new adaptive cancellation algorithm based on adaptive filtering. Based on the interference analysis of the photoelectric volume pulse wave signal in a dynamic environment, this paper uses the envelope information of the PPG (Photoplethysmography) signal to extract the AC component of the photoelectric volume pulse wave signal, and construct interference-related signals as reference signals and perform adaptive filtering to suppress motion interference. The adaptive cancellation algorithm proposed in this paper performs digital signal processing on the collected original information and analyzes the calculation results. Comparing the calculated results with those of the DST (Discrete Saturation Transform) signal extraction technology, the effectiveness of the algorithm in eliminating motion interference is verified, and the anti-interference ability and time complexity of the algorithm under severe motion are verified.
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