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A Parametric Framework for Modelling of Bioelectrical Signals

Part of the Series in BioEngineering Book Series

DOI: 10.1007/978-981-287-969-1

ISBN: 978-981-287-968-4

Publisher: Springer Singapore - Springer Journals

Jan 6, 2016

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Introduction and Motivation

Mughal (Yar Muhammad), Yar M.

Pages: 1 –8

[Healthcare is becoming an important challenge around the world. Many developed countries are facing socio-economic problems such as increasing healthcare costs. For example, in 2010, the USA alone spent about US $2.5 trillion (17 % of its GDP) on healthcare, and this number is expected to grow...
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State of the Art of Modelling and Simulation of the Physiological Systems

Mughal (Yar Muhammad), Yar M.

Pages: 9 –35

[This chapter reviews the physiology of the cardiovascular system in order to understand its main mechanisms and parameters, which are of interest in this work. This chapter also describes other researchers’ approaches to developing cardiovascular system models as well as three simulation...
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Proposed Novel Generic Framework for Modelling the Bioelectrical Information

Mughal (Yar Muhammad), Yar M.

Pages: 37 –51

[In this chapter, a generic framework is proposed to guide the modelling of signals and to develop a simulator for the bioelectrical information. The framework is a pathway to develop bioelectrical applications; first, the bioelectrical information must be modelled based on template signals and...
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Implementation of the Framework and Experimental Results

Mughal (Yar Muhammad), Yar M.

Pages: 53 –76

[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.]
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Conclusions

Mughal (Yar Muhammad), Yar M.

Pages: 77 –80

[At the beginning of my research studies, my research was focused on developing an efficient and robust algorithm to separate the cardiac and respiratory signals from an electrical bio-impedance signal. The separated signals could then be analysed by cardiologists to understand the conditions of...

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