東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A parametric framework for modelling...

Mughal, Yar Muhammad.

FindBook

Google Book

Amazon

博客來

A parametric framework for modelling of bioelectrical signals

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A parametric framework for modelling of bioelectrical signals/ by Yar Muhammad Mughal.
作者:	Mughal, Yar Muhammad.
出版者:	Singapore :Springer Singapore : : 2016.,
面頁冊數:	xv, 81 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Impedance, Bioelectric - Mathematical models. -
電子資源:	http://dx.doi.org/10.1007/978-981-287-969-1
ISBN:	9789812879691$q(electronic bk.)

A parametric framework for modelling of bioelectrical signals
Mughal, Yar Muhammad.

A parametric framework for modelling of bioelectrical signals[electronic resource] /by Yar Muhammad Mughal. - Singapore :Springer Singapore :2016. - xv, 81 p. :ill., digital ;24 cm. - Series in BioEngineering,2196-8861. - Series in BioEngineering..

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.

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)

ISBN: 9789812879691$q(electronic bk.)

Standard No.: 10.1007/978-981-287-969-1doiSubjects--Topical Terms:

2181890
Impedance, Bioelectric
--Mathematical models.

LC Class. No.: QP341

Dewey Class. No.: 612.01427

A parametric framework for modelling of bioelectrical signals
LDR:02594nmm a2200325 a 4500 001 2030360
003 DE-He213
005 20160819120708.0
006 m d
007 cr nn 008maaau
008 160908s2016 si s 0 eng d
020 $a 9789812879691$q(electronic bk.)
020 $a 9789812879684$q(paper)
024 7 $a 10.1007/978-981-287-969-1 $2 doi
035 $a 978-981-287-969-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QP341
072 7 $a MQW $2 bicssc
072 7 $a TEC009000 $2 bisacsh
082 0 4 $a 612.01427 $2 23
090 $a QP341 $b .M951 2016
100 1 $a Mughal, Yar Muhammad. $3 2181889
245 1 2 $a A parametric framework for modelling of bioelectrical signals $h [electronic resource] / $c by Yar Muhammad Mughal.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a xv, 81 p. : $b ill., digital ; $c 24 cm.
490 1 $a Series in BioEngineering, $x 2196-8861
505 0 $a 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 $a 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)
650 0 $a Impedance, Bioelectric $x Mathematical models. $3 2181890
650 1 4 $a Engineering. $3 586835
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Cardiac Imaging. $3 2153626
650 2 4 $a Medical and Radiation Physics. $3 1532864
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Pneumology/Respiratory System. $3 894348
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Series in BioEngineering. $3 2181875
856 4 0 $u http://dx.doi.org/10.1007/978-981-287-969-1
950 $a Engineering (Springer-11647)