Discover the core principles of biomedical measurement design and performance evaluation with this hands-on guide. With MATLABÃ Â code, problems, and a solutions manual available online, it is an essential text for advanced undergraduate and graduate students, and practicing professionals in Bioengineering and Electrical and Computer Engineering.
Discover the core principles of biomedical measurement design and performance evaluation with this hands-on guide. With MATLABÃ Â code, problems, and a solutions manual available online, it is an essential text for advanced undergraduate and graduate students, and practicing professionals in Bioengineering and Electrical and Computer Engineering.
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.
Inhaltsangabe
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.
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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