Impulsive Noise Cancellation of ECG signal based on SSRLS

In this paper, an enhanced adaptive impulsive noise cancellation technique based on State Space Recursive Least Square (SSRLS) algorithm is proposed. The technique is applied to the Electrocardiogram (ECG) signal, where impulsive noise affects the ECG analysis. Due to state space model-dependent recursive parameters, the presented scheme does not require the reference signal and exhibits better impulsive noise cancellation in ECG signal when compared with existing Normalized Least Mean Square (NLMS) and, Recursive Least Square (RLS) techniques. The fastest convergence and excellent tracking characteristics of proposed scheme demonstrated by the simulation results in mean square error (MSE) sense proved it to be the effective solution of impulsive noise cancellation in ECG signals.