000 03421nam a22005055i 4500
001 978-1-4614-5332-1
003 DE-He213
005 20200421111657.0
007 cr nn 008mamaa
008 121116s2013 xxu| s |||| 0|eng d
020 _a9781461453321
_9978-1-4614-5332-1
024 7 _a10.1007/978-1-4614-5332-1
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aDevasahayam, Suresh R.
_eauthor.
245 1 0 _aSignals and Systems in Biomedical Engineering
_h[electronic resource] :
_bSignal Processing and Physiological Systems Modeling /
_cby Suresh R. Devasahayam.
250 _a2nd ed. 2013.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2013.
300 _aXIV, 390 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Signal Measurement -- Signals and Systems Basics -- Signal Filtering and System Control -- Digitization and Discrete Systems -- Discrete Signal Processing -- Numerical Methods and Geometry for Graphics -- Nerve Action Potentials -- External Stimulation of Excitable Tissue -- Skeletal Muscle Contraction -- The Electromyogram -- Neuromuscular Control -- Neural Firing Rate Analysis -- Immune Response to Infection -- Linear Model of Blood Flow -- Appendix: Data Acquisition and Real-Time Signal Processing -- Description of Computer Demonstrations -- Further Reading -- Solutions to Exercises -- Index.
520 _aThe use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels 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. This second edition features expanded problem sets and a link to extra downloadable material.
650 0 _aEngineering.
650 0 _aBiophysics.
650 0 _aBiological physics.
650 0 _aElectrical engineering.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aBiophysics and Biological Physics.
650 2 4 _aElectrical Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461453314
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5332-1
912 _aZDB-2-ENG
942 _cEBK
999 _c54781
_d54781