Biomedical Measurement Systems and Data Science

Erscheinungsjahr 2021
ISBN: 978-1-107-17906-6
Verlag: Cambridge University Press

Buch, Englisch, 400 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 874 g

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.

Autoren/Hrsg.

Insana, Michael

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Physiologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
• Technische Wissenschaften Technik Allgemein Nanotechnologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Naturwissenschaften Physik Angewandte Physik Biophysik

Inhaltsverzeichnis

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.

Über Autor(innen)

Insana, Michael
Michael Insana is a Donald Biggar Willett Professor in Engineering at the University of Illinois at Urbana-Champaign. He is a Fellow of the AIMBE, the IEEE, and the IoP.