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).
|Title of host publication
|The 16th Nordic Baltic Conference on Biomedical Engineering and Medical Physics (NBC16), Gothenburg, Sweden
|Number of pages
|Published - 14 Oct 2014