Baseline wander removal in cardiac signals using Variable Step Size Adaptive Noise Cancellers

Adaptive Noise Cancellers (ANCs) are used to remove noise from the cardiac signals. In remote health monitoring system signals must be free from artifacts. In the proposed paper an attempt has been made to present a new ANC using Normalized Variable Step Size Least Mean Squared (NVLMS) algorithm. Sign Regressor Algorithm can reduce Computational Complexity and also to maximize the normalization of the algorithm. This type of implementation is suitable for remote health care monitoring system, as these systems require large Signal to Noise Ratio (SNR) and with the least computational complexity. The new ANC is tested on cardiac signals obtained from the MIT-BIH database. Simulation results confirm that the performance of the proposed algorithm is better than the conventional noise cancellers.