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AuthorDevasahayam, Suresh R.
TitleSignals and systems in biomedical engineering:signal processing and physiological systems modeling
Type of publicationBooks
Physical description xiv, 389 p. : ill. ; 24 cm.
Publisher 2nd ed., Springer, ©2013
Сall numberR856 .D48 2013
LocationMedical library
BibliographyIncludes bibliographical references (p. 351-354) and index
Subjectbiomedical engineering
signal processing
physiology, mathematical models
GenreTextbooks/Оқулықтар/Учебная литература
SummaryThe 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
ContentsSignal 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
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