在运动状态下脉搏信号的级联滤波算法

Cascade filtering algorithm of pulse signal in motion state

为了减小在剧烈环境中脉搏波信号产生的运动伪迹,采用mimic数据库中由光子器件构成的光电传感器采集的脉搏信号,通过陀螺仪信号和三轴加速度互补滤波来矫正三轴加速度的角度,运用奇异谱分析将矫正后的三轴加速度信号分组为不同频率成分的信号,作为三级快速横向递归最小二乘(FTRLS)算法的参考信号自适应消除运动伪迹。结果表明,与最小均方算法、递归最小二乘法相比,信噪比分别提升了12.2%、6.7%,均方根误差分别减少了30%,11%,并且提高了计算速度。该研究对去除频域上脉搏波的运动干扰谱峰,保留重博波信息是有帮助的。

In order to effectively reduce the motion artifacts generated by the pulse wave signal in the severe environment,the pulse signal collected by the photoelectric sensor composed of photonic devices in the mimic database was used,and the gyro signal and the three-axis acceleration complementary filtering were used to correct the three-axis acceleration.Singular spectrum analysis was used to group the corrected three-axis acceleration signals into signals with different frequency components,which were used as the reference signal of the three-stage fast transverse recursive least square(FTRLS)algorithm to adaptively eliminate motion artifacts.Compared and analyzed with the least mean square algorithm and recursive least square method,the signal-to-noise ratio increased by 12.2%and 6.7%,the root mean square error was reduced by 30%and 11%,respectively,and the calculation speed was increased.The experimental results show that this research is helpful to remove the pulse wave motion interference spectrum peak in the frequency domain and retain the information of the heavy wave.