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020			_a9789811335310
024	7		_a10.1007/978-981-13-3531-0 _2doi
050		4	_aR856 _b2019 EB
100	1		_aDevasahayam, Suresh R. _9670270
245	1	0	_aSignals and Systems in Biomedical Engineering : _bPhysiological Systems Modeling and Signal Processing _cby Suresh R. Devasahayam
250			_a3rd ed. 2019.
264		1	_aSingapore _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XV, 468 páginas) _b362 ilustraciones, 123 ilustraciones a color
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aPart I Signal Processing for Physiology -- Introduction to Measurement and Analysis in Physiology -- Basic Concepts in Systems Theory and Signal Processing -- Signal Filtering and System Control for Physiology -- Digitization and Discrete Systems - Sampling and Quantization -- Discrete Signal Processing for Physiological Signals -- Graphics and Haptics for Simulation Models -- Model Based Analysis of Physiological Systems -- Part II Models of Physiological Systems -- Nerve Communication I - Wave Propagation and Action Potentials -- Neural Communication II - Firing Rate and Information Encoding -- External Stimulation of Nerves in Tissue - From Theory to Practice -- Skeletal Muscle Contraction - Force and Movement -- The Electromyogram - Modeling and Analysis -- Neuromuscular Control - Spinal Reflex and Movement -- Cardiovascular Blood Flow Modeling -- Immune Response to Infection.
520	3		_aPhysiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities. This book shows that systems modeling can be used to develop simulations of physiological systems, which use formal relations between the underlying processes and the observed measurements. The inverse of such relations suggest signal processing tools that can be applied to interpret experimental data. Both signal processing and systems modeling are invaluable in the study of human physiology. Discussing signal processing techniques ranging from filtering and spectrum analysis to wavelet analysis, the book also includesGraphs and analogies to supplement the mathematics and make the book more accessible to physiologists and also more interesting to engineers. Physiological systems modeling helps in both gaining insights and generating methods of analysis. This book shows how numerical computation with graphical display, haptics and multimedia can be used to simulate physiological systems. In this third edition the simulations are more closely related to clinical examination and experimental physiology than in previous editions. Detailed models of nerve and muscle at the cellular and systemic levels, and simplified models of cardiovascular blood flow provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. The book features expanded problem sets and a link to extra downloadable material, and simulation programs that are solutions to the theory developed in the text are also available.
988			_aPrimersemestre_2019_BiomedLife
650		7	_2embne _9143820 _aIngeniería biomédica
650		7	_2embne _aProceso de señales _9150608
776	0	8	_iPrinted edition: _z9789811335303
776	0	8	_iPrinted edition: _z9789811335327
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-3531-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b08/2019 _ek _zSI