Development of a Bio-Impedance Signal Simulator on the Basis of the Regression Based Model of the Cardiac and Respiratory Impedance Signals
A software implemented bio-impedance signal simulator (BISS) is proposed, which can imitate real bioimpedance phenomena for analyzing the performance of various signal processing methods and algorithms. The underlying mathematical models are built by means of a curvefitting regression method. Three mathematical models were compared polynomial, Fourier series and sum of sine waves with four different measured impedance cardiography (ICG) datasets and two clean ICG and impedance respirography (IRG) datasets were taken as the basis of the signals. Statistical analysis (sum of squares error, correlation and execution time) implies that Fourier series is best suited. The models of the ICG and IRG signals are integrated into the proposed simulator.
In the simulator the correlation between heart rate and respiration rate are taken into account by means of ratio between them (5:1 respectively).
KeywordsRegression based model Signal Simulation and Modeling Electrical Bio-Impedance Impedance Cardiography Respiratory Signal
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