Removal of multiple artifacts from ECG signal using cascaded multistage adaptive noise cancellers

Although cascaded multistage adaptive noise cancellers have been employed before by researchers for multiple artifact removal from the ElectroCardioGram (ECG) signal, they all used same algorithm in multi-stages adjusting filter weights. In this paper, we propose a 4-stage canceller of four artifacts present ECG viz. baseline wander, motion artifacts, muscle and 60 Hz Power Line Interference (PLI). We investigated performance eight algorithms, Least Mean Square (LMS), Fourth (LMF), Mixed-Norm (LMMN), Sign Regressor (SRLMS), Error (SELMS), Sign-Sign (SSLMS), (SRLMF), (SRLMMN) terms Signal-to-Noise Ratio (SNR) improvement removing aforementioned signal. LMMN, LMF, LMF algorithms proposed to remove respective as mentioned above. succeeded achieving an SNR 12.7319 dBs. The employing outperforms those that employ stages. One unique powerful feature our is it employs only stages, which are shown be effective Such scheme has not literature.