大葉大學圖書館 |

A parametric framework for modelling of bioelectrical signals[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	612.01427
書名/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.
Contained By:	Springer eBooks
標題:	Impedance, Bioelectric - Mathematical models.
標題:	Engineering.
標題:	Biomedical Engineering.
標題:	Cardiac Imaging.
標題:	Medical and Radiation Physics.
標題:	Signal, Image and Speech Processing.
標題:	Pneumology/Respiratory System.
ISBN:	9789812879691
ISBN:	9789812879684
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.
摘要、提要註:	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)
電子資源:	http://dx.doi.org/10.1007/978-981-287-969-1

A parametric framework for modelling of bioelectrical signals[electronic resource] /
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

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

655122
Impedance, Bioelectric
--Mathematical models.

LC Class. No.: QP341

Dewey Class. No.: 612.01427

A parametric framework for modelling of bioelectrical signals[electronic resource] /
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