SUN Jian-peng, LIU Hong, LIU Ying-hao, et al. Variable step-size LMS algorithm for filtering motion interference in ECG signal easy for hardware implementation[J]. 2018, (5): 120-122+127.
SUN Jian-peng, LIU Hong, LIU Ying-hao, et al. Variable step-size LMS algorithm for filtering motion interference in ECG signal easy for hardware implementation[J]. 2018, (5): 120-122+127. DOI: 10.13873/j.1000-9787(2018)05-0120-03.
In order to solve the problem that it is difficult to filter motion interference in electrocardio( ECG)signal monitoring system
an digital self-adaptive variable step-size least mean square( LMS) algorithm which is easy for hardware implementation is proposed. By simplifying the relationship between step-size factors and input signals
the algorithm reduces the computation of the weight updating system. Through analyzing unstablie convergence of traditional LMS algorithm
combined with iteration numbers to optimize the step-size factor
improve the convergence performance of the algorithm. Compared with the classical LMS algorithm
with computation slightly increased
convergence performance of the algorithm is greatly improved and the SNR is increased by more than 14 d B.Simulation results show that the algorithm has the advantages of small amount of computation and good to filter effect
while ECG sigal carry out realtime hardware integrated to filter motion interfernce.