A Parametric Framework for Modelling of Bioelectrical Signals (Record no. 80455)

000 -LEADER
fixed length control field 03697nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-981-287-969-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222142.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160105s2016 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789812879691
-- 978-981-287-969-1
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
100 1# - AUTHOR NAME
Author Mughal, Yar M.
245 12 - TITLE STATEMENT
Title A Parametric Framework for Modelling of Bioelectrical Signals
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 81 p. 42 illus., 5 illus. in color.
490 1# - SERIES STATEMENT
Series statement Series in BioEngineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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).
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-287-969-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cardiology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Respiratory organs—Diseases.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cardiology.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pneumology.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2196-887X
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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