The EBI measurement method is selected to measure the human thorax or chest region to record EBI datasets for modelling the ICG and IRG signals because impedance is one of the prospective methods in non-invasive methods. Three curve fitting methods polynomial, Fourier series and sum of sines models are evaluated based on the EBI datasets. The evaluation criteria are evaluated in terms of the minimization of the error (SSE), high correlation between data and model (R-Square), as-well-as short

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... cution time. BISS gives the end user the freedom to simulate EBI signals as per his/her needs for further analysis. The simulator imitates the real phenomena of ICG and IRG signals, and thus the EBI simulated signals could be used to evaluate the performance of separation algorithms. The developed EBI simulator (BISS) could be used for teaching and training purposes.