Application of Variable Step LMS Algorithm Based on Iterative Time in ECG Signal Abstraction

The existence of industrial frequency interference brings serious influence to electrocardiogram (ECG) signal diagnosis and analysis. The industrial frequency interference should be restrained. Adaptive filter is a primary method to filter ECG signal, because it does not need the signal statistical characteristic. LMS algorithm is one of the most universal adaptive arithmetic. The step value should be selected suitably in order to achieve fast convergence. The paper introduces a variable step LMS algorithm based on iterative time. It restrains the industrial frequency interference of electrocardiogram signal through adaptive noise canceling system. The experimental results demonstrate the variable step LMS algorithm based on iterative time has better filter effect. The signal to noise ratio improves 46.0149 dB. At the same time, it has fast convergence speed. The validity and advantage in restraining industrial frequency interference are validated. It has important academic meaning and applied value.