Abstract：The improvement of the accuracy of measuring blood pressure is an important issue to prevent hypertension. Oscillography uses statistical experience to determine a set of coefficients, which is inaccurate enough in the measurement of blood pressure. In this work, a method of measuring blood pressure by combining multiple techniques was proposed. Five characteristic parameters from the de-interference oscillometric waveform envelope were extracted to match the envelope to the best set of coefficients through the classification model and measure the blood pressure by oscillography. The classification model was trained offline. Specifically, the first thing was to uniquely cluster the envelopes using the novel k-means. Next, adaptively determined a set of optimal coefficients for each type of envelope according to the gradient descent, and there was a one-to-one correspondence between the centroid vectors and the calculated coefficients. Based on above mentioned, the classification model was finally constructed. There were 33 subjects in the experiment. Experimental results showed that the proposed blood pressure measurement was similar to that of mercury method, the correlation coefficient could reach 0.91, and met the AAMI-SP10 standards even the first-level requirements of ESH. Furthermore, the proposed measurement was superior to oscillography, with regard to the deviations between the estimated blood pressure and the target blood pressure, the number of deviations within 5 mmHg was increased by 10.5% on average, and the number of deviations within 10 mmHg was increased by 6.8% on average.
华斌, 陈玉婷, 吕青普. 一种结合传统示波法与新型k-means算法的血压判定方法[J]. 中国生物医学工程学报, 2020, 39(2): 152-159.
Hua Bin, Chen Yuting, Lv Qingpu. A Method of Measuring Blood Pressure by Combining with Traditional Oscillography and Novel k-Means Algorithm. Chinese Journal of Biomedical Engineering, 2020, 39(2): 152-159.
