软件滤波的示波血压测量算法及Android实现

提出软件滤波与示波法相结合的改进算法.利用三重软件滤波处理,针对传统示波法血压测量中脉搏振荡波提取和波形突变点选择的困难,从混合压力信号采样数据中有效提取出特征明显的脉搏振荡波,通过幅度系数法确定脉搏振荡波中突变点的幅值范围,利用波形判别法仅在该幅值范围内选取突变点,完成舒张压和收缩压的测量.在Matlab中进行仿真,并在Android移动平台上实现.Matlab仿真结果表明:该算法具有较强的可靠性和准确性.

Software Filter Based Algorithm for Oscillometric Blood Pressure Measurement and Its Android Implementation

To overcome the difficulties of conventional oscillometric blood pressure measurement in the extraction of pulse shock wave and the selection of waveform mutation point, an improved algorithm is presented that incorporates software filter into oscillometric method. In the software filter based algorithm, the pulse oscillation wave with distinguishable feature points is effectively extracted by a concatenated processing of software filter from the hybrid pressure signal samples, the mutation points are selected using the feature point method in a certain amplitude range determined by the amplitude characteristic ratios method, and the systolic and diastolic pressures are finally measured. The algorithm is simulated in Matlab, and implemented in intelligent mobile platform of Android. Simulation results in Matlab show that the algorithm can provide more reliable and accurate measurements of blood pressure.