Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing

Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing by Suresh R. Devasahayam.

Physiology 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...

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Bibliographic Details
Main Author: Devasahayam, Suresh R. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:3rd ed. 2019.
Series:Springer eBook Collection.
Subjects:
Biomedical engineering.
Signal processing.
Image processing.
Speech processing systems.
Biophysics.
Biological physics.
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Part 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.

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