Scoop blood pressure analysis based on Blackman window

This paper designs a spoon-type blood pressure analysis algorithm based on Blackman window, which is suitable for blood pressure measurement of wearable devices, and can be used to more accurately judge the blood pressure changes of the user in a day, to facilitate the analysis of the user’s blood pressure. Compared with the traditional and widely used rectangular window, the sidelobe attenuation of the Blackman window can be increased by 77.193%, reducing the frequency spectrum leakage, and making the analysis of the blood pressure waveform more accurate. Compared with the existing research using a wide range of curve fitting methods to fit discrete points to continuous curve output, this paper uses FFT operation to restore discrete time domain points to continuous time domain curves, and the fitting is accurate. The rate can be as high as 70%, and the gap is small compared with sophisticated medical equipment. It can better meet user needs and improve the measurement accuracy of wearable devices.