Lectures:
1. Introduction to Measurement and Control. Measurement chain. Applications in biomedicine.
2. Classification of signals and their parameters.
3. Signal processing in the time domain.
4. Signal processing in the frequency domain.
5. Identification methods.
6. Continuous time system model.
7. Discrete time system model.
8. Methods of modeling and simulation of linear systems with continuous and discrete time.
9. Methods of modeling and simulation of nonlinear systems with continuous and discrete time.
10. Introduction to control systems. Examples of control and regulation in biomedicine.
11. Analysis of continuous and discrete control circuits.
12. Synthesis of continuous and discrete control circuits.
13. Case study - regulation of selected biomedical system.
14. Introduction to the implementation of control circuits on selected SW and HW devices.
Exercises:
There are 4 topic of exercises. Computer exercises and laboratory tasks will be combined in each topic.
1. Measurement chain - laboratory task.
2. Signal processing - laboratory task.
3. Identification and modeling - laboratory task.
4. Control and regulation - laboratory task.
1. Introduction to Measurement and Control. Measurement chain. Applications in biomedicine.
2. Classification of signals and their parameters.
3. Signal processing in the time domain.
4. Signal processing in the frequency domain.
5. Identification methods.
6. Continuous time system model.
7. Discrete time system model.
8. Methods of modeling and simulation of linear systems with continuous and discrete time.
9. Methods of modeling and simulation of nonlinear systems with continuous and discrete time.
10. Introduction to control systems. Examples of control and regulation in biomedicine.
11. Analysis of continuous and discrete control circuits.
12. Synthesis of continuous and discrete control circuits.
13. Case study - regulation of selected biomedical system.
14. Introduction to the implementation of control circuits on selected SW and HW devices.
Exercises:
There are 4 topic of exercises. Computer exercises and laboratory tasks will be combined in each topic.
1. Measurement chain - laboratory task.
2. Signal processing - laboratory task.
3. Identification and modeling - laboratory task.
4. Control and regulation - laboratory task.