A parametric framework for modelling of bioelectrical signals [electronic resource] / Yar M. Mughal (Yar Muhammad).
Mughal, Yar M., author.
2016
QP341
Available Online

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Title A parametric framework for modelling of bioelectrical signals [electronic resource] / Yar M. Mughal (Yar Muhammad).
Author Mughal, Yar M., author.
ISBN 9789812879691 (electronic book)
9812879692 (electronic book)
9789812879684
9812879684
DOI https://doi.org/10.1007/978-981-287-969-1
Published Singapore : Springer, 2016.
Language English
Description 1 online resource (xv, 81 pages) : illustrations.
Item Number 10.1007/978-981-287-969-1 doi
Call Number QP341
Dewey Decimal Classification 612/.01427
Summary 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).
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 14, 2016).
Series Series in bioengineering.
Available in Other Form Print version: 9789812879684
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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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