A Parametric Framework for Modelling of Bioelectrical Signals

A Parametric Framework for Modelling of Bioelectrical Signals

by Yar M. Mughal

Paperback(Softcover reprint of the original 1st ed. 2016)

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This book examines non-invasive, electrical-based methods for disease diagnosis and assessment of heart function. In particular, a formalized signal model is proposed since this offers several advantages over methods that rely on measured data alone. By using a formalized representation, the parameters of the signal model can be easily manipulated and/or modified, thus providing mechanisms that allow researchers to reproduce and control such signals. In addition, having such a formalized signal model makes it possible to develop computer tools that can be used for manipulating and understanding how signal changes result from various heart conditions, as well as for generating input signals for experimenting with and evaluating the performance of e.g. signal extraction methods. The work focuses on bioelectrical information, particularly electrical bio-impedance (EBI). Once the EBI has been measured, the corresponding signals have to be modelled for analysis. This requires a structured approach in order to move from real measured data to the model of the corresponding signals. This book proposes a generic framework for this procedure. It can be used as a guide for modelling impedance cardiography (ICG) and impedance respirography (IRG) signals, as well as for developing the corresponding bio-impedance signal simulator (BISS).

Product Details

ISBN-13: 9789811357350
Publisher: Springer Singapore
Publication date: 12/09/2018
Series: Series in BioEngineering
Edition description: Softcover reprint of the original 1st ed. 2016
Pages: 81
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction and Motivation.- State of the Art of Modelling and Simulation of the Physiological Systems.- Proposed Novel Generic Framework for Modelling the Bioelectrical Information.- Implementation of the Framework and the Experimental Results.- Conclusions.

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