Continuous Blood Pressure Estimation Based on Two-Domain Fusion Model

Blood pressure (BP) is one of the indispensable elements of physiological health characteristics and a significant indicator for predicting and diagnosing hypertension and cardiovascular diseases. /is paper proposes a two-domain fusion model to estimate BP continuously from pulse wave acquired with a pressure sensor. Method. /e optimal external pressure applied on the pressure sensor is first determined in order to capture pulse wave in the radial artery. /e captured pulse wave is then processed in both the time and frequency domains via filtering and fast Fourier transform. Finally, a set of features are extracted from these two domains and input into a neural network along with blood pressure values measured by a commercial sphygmomanometer for training. /e model is then tested on new data for accuracy evaluation. Results. /e proposed two-domain fusion method achieved a high degree of accuracy in measuring blood pressure.