Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals

Yar Muhammad; Yannick Le Moullec; Paul Annus; Mart Min

doi:10.1007/978-3-319-12967-9_25

Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals

Yar Muhammad, Yannick Le Moullec, Paul Annus, Mart Min

School of Physics, Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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).

Original language	English
Title of host publication	The 16th Nordic Baltic Conference on Biomedical Engineering and Medical Physics (NBC16), Gothenburg, Sweden
Publisher	Springer Nature Link
Pages	92-95
Number of pages	4
ISBN (Print)	9783319129662
DOIs	https://doi.org/10.1007/978-3-319-12967-9_25
Publication status	Published - 14 Oct 2014

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10.1007/978-3-319-12967-9_25

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Muhammad, Y., Moullec, Y. L., Annus, P., & Min, M. (2014). Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals. In The 16th Nordic Baltic Conference on Biomedical Engineering and Medical Physics (NBC16), Gothenburg, Sweden (pp. 92-95). Springer Nature Link. https://doi.org/10.1007/978-3-319-12967-9_25

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title = "Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals",

abstract = "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).",

author = "Yar Muhammad and Moullec, {Yannick Le} and Paul Annus and Mart Min",

note = "16th Nordic-Baltic Conference on Biomedical Engineering & Medical Physics and Medicinteknikdagarn ; Conference date: 14-10-2014 Through 16-10-2014",

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Muhammad, Y, Moullec, YL, Annus, P & Min, M 2014, Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals. in The 16th Nordic Baltic Conference on Biomedical Engineering and Medical Physics (NBC16), Gothenburg, Sweden. Springer Nature Link, pp. 92-95. https://doi.org/10.1007/978-3-319-12967-9_25

Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals. / Muhammad, Yar; Moullec, Yannick Le; Annus, Paul et al.
The 16th Nordic Baltic Conference on Biomedical Engineering and Medical Physics (NBC16), Gothenburg, Sweden. Springer Nature Link, 2014. p. 92-95.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Muhammad, Yar

AU - Moullec, Yannick Le

AU - Annus, Paul

AU - Min, Mart

N1 - 16th Nordic-Baltic Conference on Biomedical Engineering & Medical Physics and Medicinteknikdagarn ; Conference date: 14-10-2014 Through 16-10-2014

PY - 2014/10/14

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N2 - 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).

AB - 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).

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DO - 10.1007/978-3-319-12967-9_25

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Development of a Bio-Impedance Signal Simulator on the basis of the Regression based Model of the Cardiac and Respiratory Impedance Signals

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