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020 _a9789812879691
040 _aES-MaUEC
050 4 _aQP341
_b.M844 2016 EB
100 1 _aMughal, Yar M.
_9101080
_0Local
245 1 2 _aA Parametric Framework for Modelling of Bioelectrical Signals
_cby Yar M Mughal
260 _aSingapore
_bSpringer
_c2016
300 _a1 recurso en línea (XV, 81 p.) 42 ilustraciones, 5 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 1 _aSeries in BioEngineering
_x2196-8861
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).
942 _2lcc
_cLE
988 _aEBOOK, EBSPRINGER
650 7 _aElectrofisiología
_0comprobar BNE19922526319
_2embne
_9145806
830 0 _aSeries in BioEngineering
_x2196-8861
_9134306
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-981-287-969-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12962478
_b10-10-17
_c21-11-16
998 _am
_a_alco
_a_vill
_b26-02-17
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_feng
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945 _aQP341 .M844 2016 EB
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