Biomedical Measurement Systems and Data Science
eBook - PDF

Biomedical Measurement Systems and Data Science

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

Biomedical Measurement Systems and Data Science

About this book

Discover the fundamental principles of biomedical measurement design and performance evaluation with this hands-on guide. Whether you develop measurement instruments or use them in novel ways, this practical text will prepare you to be an effective generator and consumer of biomedical data. Designed for both classroom instruction and self-study, it explains how information is encoded into recorded data and can be extracted and displayed in an accessible manner. Describes and integrates experimental design, performance assessment, classification, and system modelling. Combines mathematical concepts with computational models, providing the tools needed to answer advanced biomedical questions. Includes MATLAB® scripts throughout to help readers model all types of biomedical systems, and contains numerous homework problems, with a solutions manual available online. This is an essential text for advanced undergraduate and graduate students in bioengineering, electrical and computer engineering, computer science, medical physics, and anyone preparing for a career in biomedical sciences and engineering.

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Yes, you can access Biomedical Measurement Systems and Data Science by Michael Insana in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Ingeniería general. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. Preface
  8. 1 Introduction to Measurement Systems
  9. 2 Probability
  10. 3 Statistics of Random Processes
  11. 4 Spatiotemporal Models of the Measurement Process
  12. 5 Basis Decomposition I
  13. 6 Basis Decomposition II
  14. 7 Projection Radiography
  15. 8 Statistical Decision-Making
  16. 9 Statistical Pattern Recognition with Flow Cytometry Examples
  17. 10 ODE Models I: Biological Systems
  18. 11 ODE Models II: Sensors
  19. Appendix A Review of Linear Algebra
  20. Appendix B Properties of Dirac Deltas
  21. Appendix C Signal Modulation
  22. Appendix D Fourier Transform Theorems and Special Functions
  23. Appendix E Constrained Optimization
  24. Appendix F One-Sided Laplace Transforms
  25. Appendix G Independent, Orthogonal, Uncorrelated
  26. Bibliography
  27. Index