Blood pressure is one important risk factor for stroke prognosis. Therefore, continuous monitoring of blood pressure is crucial\nfor preventing and predicting stroke. However, current blood pressure devices are mainly air-cuff based, which only can provide\nmeasurements intermittently. This study proposed a newblood pressure estimation method based on the pulse transit time to realize\ncontinuous monitoring.Theproposedmethod integrated a linear model with a compensation algorithm. A calibration method was\nfurther developed to guarantee that the model was personalized for individuals. Variation and variability of pulse transit time were\nintroduced to construct the compensation algorithm in the model. The proposed method was validated by the data collected from\n30 healthy subjects, aged from 23 to 25 years old. By comparing the estimated value to the measurement from an oscillometry,\nthe result showed that the mean error of the estimated blood pressure was ?0.2 �± 2.4mmHg and 0.5 �± 3.9mmHg for systolic\nand diastolic blood pressure, respectively. In addition, the estimation performance of the proposed model is better than the linear\nmodel, especially for the diastolic blood pressure. The results indicate that the proposed method has promising potential to realize\ncontinuous blood pressure measurement.
Loading....