A parametric framework for modelling of bioelectrical signals /

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Bibliographic Details
Author / Creator:Mughal, Yar M. (Yar Muhammad), author.
Imprint:Singapore : Springer, 2016.
Description:1 online resource (xv, 81 pages) : illustrations (some color)
Series:Series in BioEngineering, 2196-8861
Series in bioengineering.
Subject:Impedance, Bioelectric -- Mathematical models.
Electric Impedance.
MEDICAL -- Physiology.
SCIENCE -- Life Sciences -- Human Anatomy & Physiology.
Impedance, Bioelectric -- Mathematical models.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11251939
Hidden Bibliographic Details
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed January 14, 2016).
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).
Other form:Print version: 9812879684 9789812879684
Standard no.:10.1007/978-981-287-969-1