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9780849315572: Signals and Systems Analysis In Biomedical Engineering

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The interdisciplinary field of biomedical engineering requires its practitioners to master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineers strengthen their skills in the common network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, Signals and Systems Analysis in Biomedical Engineering provides a ready source of information on those specialized mathematical techniques most useful in describing and analyzing biomedical signals, including ECG, EEG, blood pressure, biochemical spectrograms, and tomographic images.

Enriched with many examples that promote sound practical analysis, this book:

  • Presents the traditional systems mathematics used to characterize linear time-invariant (LTI) systems and, given inputs, find their outputs
  • Explains the relations between impulse response, real convolution, transfer functions and frequency response functions
  • Reviews specialized mathematical techniques used to characterize and model nonlinear systems
  • Introduces the basic mathematical tools used to describe noise and how it propagates through LTI and NLTI systems
  • Describes how signal-to-noise ratio can be improved by signal averaging and linear and nonlinear filtering
  • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Contenuti

    INTRODUCTION TO BIOMEDICAL SIGNALS AND SYSTEMS
    General Characteristics of Biomedical Signals
    General Properties of Physiological Systems
    Chapter Summary

    REVIEW OF LINEAR SYSTEMS THEORY
    Linearity; Causality, Stationarity
    Analog Systems
    Systems Described by Sets of ODEs
    Linear System Characterization
    Discrete Systems and Signals
    Stability of Systems
    Chapter Summary

    THE LAPLACE TRANSFORM AND ITS APPLICATIONS
    Introduction
    Properties of the Laplace Transform
    Some Examples of Finding Laplace Transforms
    The Inverse Laplace Transform
    Applications of the Laplace Transform
    Chapter Summary

    FOURIER SERIES ANALYSIS OF PERIODIC SIGNALS
    Introduction
    Properties of the Fourier Series
    Fourier Series Examples
    Chapter Summary

    THE CONTINUOUS FOURIER TRANSFORM
    Introduction
    Properties of the CFT
    Analog-to-Digital Conversion and the Sampling Theorem
    The Analytical Signal and the Hilbert Transform
    The Modulation Transfer Function in Imaging
    Chapter Summary

    THE DISCRETE FOURIER TRANSFORM
    Introduction
    The CFT, ICFT, DFT and IDFT
    Data Window Functions
    The FFT
    Chapter Summary

    INTRODUCTION TO TIME-FREQUENCY ANALYSIS OF BIOMEDICAL SIGNALS
    Introduction
    The Short-term Fourier Transform (STFT)
    Gabor and Adaptive Gabor Transform
    Wigner-Ville & Pseudo-Wigner Transforms
    Cohen's General Class of JTF Distributions
    Introduction to JTFA Using Wavelets
    Applications of JTF Analysis to Physiological Signals
    JTFA Software
    Chapter Summary

    INTRODUCTION TO THE ANALYSIS OF STATIONARY NOISE AND SIGNALS CONTAMINATED WITH NOISE
    Introduction
    Noise Descriptors and Noise in Systems
    Calculation of Noise Descriptors with Finite Discrete Data
    Signal Averaging and Filtering for Signal-to-Noise Ratio Improvement
    Introduction to the Application of Statistics and Information Theory to Genomics
    Chapter Summary

    BASIC MATHEMATICAL TOOLS USED IN THE CHARACTERIZATION OF PHYSIOLOGICAL SYSTEMS
    Introduction
    Some General Properties of Physiological Systems
    Some Properties of Nonlinear Systems
    Physical Factors Determining the Dynamic Behavior of Physiological Systems
    Means of Characterizing Physiological Systems
    Chapter Summary

    INTRODUCTION TO THE MATHEMATICS OF TOMOGRAPHIC IMAGING
    Introduction
    Algebraic Reconstruction
    The Radon Transform
    The Fourier Slice Theorem
    The Filtered Back-Projection Algorithm (FBPA)
    Chapter Summary

    APPENDICES
    Cramer's Rule
    Signal Flow Graphs and Mason's Rule
    Bode (Frequency Response) Plots
    Computational Tools for Biomedical Signal Processing and Systems Analysis

    BIBLIOGRAPHY AND REFERENCES
    INDEX

    Product Description

    Book by Northrop Robert B

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

    • EditoreCRC Press
    • Data di pubblicazione2003
    • ISBN 10 0849315573
    • ISBN 13 9780849315572
    • RilegaturaCopertina rigida
    • LinguaInglese
    • Numero edizione1
    • Numero di pagine432

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