Abstract
As the basis for the implementation, the EBI measurement method was selected to measure the impedance cardiography (ICG) and impedance respirogram (IRG) signals in order to develop the corresponding signal models; for this purpose, different curve-fitting methods are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Matlab2012b: Manual, Curve Fitting Toolbox (2014)
Min, M., Martens, O., Parve, T.: Lock-in measurement of bio-impedance variations. Measurement. IMEKO 27(1), 21–28 (2000)
Mughal, Y.M.: Decomposing of cardiac and respiratory signals from electrical bio-impedance data using filtering method. In: Zhang, Y.-T. (ed.). Springer International Publishing, Cham (2014). http://link.springer.com/10.1007/978-3-319-03005-0. Accessed 12 Nov 2014
Mughal, Y.M., et al.: An overview of the impedance models of the thorax and the origin of the impedance cardiography signal and modeling of the impedance signals. In: 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014) (2014)
Mughal, Y.M., et al.: Development of a bio-impedance signal simulator on the basis of the regression based model of the cardiac and respiratory impedance signals. In: Mindedal, H., Persson, M. (eds.) 16th Nordic-Baltic Conference on Biomedical Engineering. IFMBE Proceedings. Springer International Publishing, Gothenburg, pp. 92–95 (2015a). http://link.springer.com/10.1007/978-3-319-12967-9. Accessed 12 Nov 2014
Mughal, Y.M., et al.: A bio-impedance signal simulator (BISS) for research and training purposes. In: Irish Signals and Systems Conference 2015 (ISSC2015), Carlow, Ireland (2015b)
Mughal, Y.M., et al.: A Parametric framework for the development of bioelectrical applications—application to a bio-impedance signal simulator. In: Proceedings of the Estonian Academy of Sciences, (2016) accepted
Zurich, H.: HF2IS impedance spectroscope—Zurich Instruments (2015). http://www.zhinst.com/products/hf2is. Accessed 12 Feb 2015
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Mughal (Yar Muhammad), Y.M. (2016). Implementation of the Framework and Experimental Results. In: A Parametric Framework for Modelling of Bioelectrical Signals. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-287-969-1_4
Download citation
DOI: https://doi.org/10.1007/978-981-287-969-1_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-968-4
Online ISBN: 978-981-287-969-1
eBook Packages: EngineeringEngineering (R0)