Biomedical measurement systems and data science

著者

書誌事項

Biomedical measurement systems and data science

Michael Insana

Cambridge University Press, 2021

  • : hardback

大学図書館所蔵 件 / 全2件

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注記

Includes bibliographical references (p. [381]-386) and index

内容説明・目次

内容説明

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 (R) 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.

目次

  • 1. Introduction to measurement systems
  • 2. Probability
  • 3. Statistics of random processes
  • 4. Spatiotemporal models of the measurement process
  • 5. Basis decomposition I
  • 6. Basis decomposition II
  • 7. Projection radiography
  • 8. Statistical decision-making
  • 9. Statistical pattern recognition with flow cytometry examples
  • 10. ODE models I, biological systems
  • 11. ODE models II, sensors.

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