Continuous Blood Pressure Measurement Algorithm Based On PPG Signal Quality Assessment

The continuous blood pressure values can be calculated by the pulse wave transmission velocity. The accuracy of measuring human blood pressure using pulse wave transmit velocity is significantly influenced by the accuracy of the pulse wave feature point. This paper designs a pulse waveform quality evaluation function to calculate the pulse wave quality index. The reliability evaluation of photoplethysmography (PPG) feature point selection can be evaluated by the pulse wave quality index automatically. The fusion of blood pressure value calculated by different pulse wave feature point is calculated by the Kalman filter. Thus a more accurate continuous blood pressure measurement result is got. This method is evaluated by the MIMIC database. Compared with SBP calculated by single PPG feature point, this method has the least extreme errors and the smallest root mean square error (rMSE) of systolic blood pressure(SBP).