Impedance Cardiography Filtering Using Non-negative Least-mean-square Algorithm

In general using several signal acquisition methods are applied to get cardio-impedance signal to analyse the cardiac output. The analysis completely based on frequency information obtained after applying frequency selection filters and frequency shaping filters. Here proposing a constructive approach involves a developed Non-Negative LMS (NNLMS) followed by filtering techniques to measure and overcome the limitations of commonly used approaches. The proposed technique performance is analysed by considering different types of noise environments like fundamental one white noise and also sum of sinusoidal noise. The simulation results are useful to measure the performance and accuracy under different noise environments also a comparative analysis is done with the proposed work with existing methods under different performance metrics by the help of quantitative analysis of algorithms. Simulation results are found to be satisfactory in the analysis of cardiac output.