000 03382nam a22005415i 4500
001 978-981-287-969-1
003 DE-He213
005 20200420220222.0
007 cr nn 008mamaa
008 160105s2016 si | s |||| 0|eng d
020 _a9789812879691
_9978-981-287-969-1
024 7 _a10.1007/978-981-287-969-1
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aMughal, Yar M.
_eauthor.
245 1 2 _aA Parametric Framework for Modelling of Bioelectrical Signals
_h[electronic resource] /
_cby Yar M. Mughal.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2016.
300 _aXV, 81 p. 42 illus., 5 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSeries in BioEngineering,
_x2196-8861
505 0 _aIntroduction 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 _aThis 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 _aEngineering.
650 0 _aCardiac imaging.
650 0 _aRespiratory organs
_xDiseases.
650 0 _aMedical physics.
650 0 _aRadiation.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aCardiac Imaging.
650 2 4 _aMedical and Radiation Physics.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aPneumology/Respiratory System.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789812879684
830 0 _aSeries in BioEngineering,
_x2196-8861
856 4 0 _uhttp://dx.doi.org/10.1007/978-981-287-969-1
912 _aZDB-2-ENG
942 _cEBK
999 _c51967
_d51967