Signal Processing of Random Physiological Signals
eBook - PDF

Signal Processing of Random Physiological Signals

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Signal Processing of Random Physiological Signals

About this book

This lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real-world applications of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, most biomedical engineering programs are aimed to provide the knowledge required of a graduate student while undergraduate programs are geared toward designing circuits and of evaluating only the cardiac signals. Very few programs teach the processes with which to evaluate brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, electro-oculograms, or random signals acquired from the body. The primary goal of this lecture book is to help the reader understand the time and frequency domain processes which may be used and to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time writing software programs. This publication utilizes "DADiSP", a digital signal processing software, from the DSP Development Corporation.

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Yes, you can access Signal Processing of Random Physiological Signals by Charles S. Lessard,Charles Lessard in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Biophysics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. 1. Biomedical Engineering Signal Analysis
  6. 2. System Classification
  7. 3. Classification of Signals
  8. 4. Basis Functions and Signal Representation
  9. 5. Data Acquisition Process
  10. 6. Sampling Theory and Analog-to-Digital Conversion
  11. 7. Stationarity and Ergodic Random Processes
  12. 8. Nonparametric Statistic and the Runs Test for Stationarity
  13. 9. Correlation Functions
  14. 10. Convolution
  15. 11. Digital Filters
  16. 12. Fourier Series: Trigonometric
  17. 13. Fast Fourier Transform
  18. 14. Truncation of the Infinite Fourier Transform
  19. 15. Spectral Analysis
  20. 16. Window Functions and Spectral Leakage
  21. 17. Transfer Function Via Spectral Analysis
  22. 18. Coherence Function from Spectral Analysis
  23. 19. Error in Random Data Estimate Analysis (Information Is Paraphrased from Bendat & Piersol)
  24. Biography