EE470 Biomedical Signals and Systems
(Spring 2011)
Class Times (Sun and Tue 8:00-9:30 AM)
Tutorial/Labs (Sun 2:30-5:30PM)
Bulletin Description:
Models for biomedical systems.Non-deterministic nature of biomedical signals, physiological systems and quantitative analysis. Feedback systems, transfer functions and stability. Frequency response of systems and circuits, and Bode diagrams. A/D conversion, sampling, and discrete-time signal processing. Biomedical amplifiers, filters, signal processors and display devices. Power supplies for medical equipment. Laboratory and computational experiences with biomedical applications. Term project.
Prerequisites: EE 253, EE 301, EE 370
Textbooks: M.J. Roberts, Signals and Systems, Analysis Using Transform Methods and MATLAB, McGraw-Hill, 2004.
References: A.V. Oppenheim, A.S. Willsky, I.T. Young :Signals and Systems, Prentice - Hall, 2nd ed 1996;
E.N. Bruce: Biomedical Signal Processing and Signal Modeling, Wiley 2001;
D.K. Lindner: Introduction to Signals and Systems, McGraw-Hill, 1999.
Instructor:
Dr Nazeeh Alothmany,
email:nothmany@kau.edu.sa,
http://nothmany.kau.edu
Course Topics:
A tentative timetable will be prepared with details of topics after the pretest
Course Learning Objectives (CLO)
After finishing the course successfully, the BME student shall
- Express signals in terms of basic signal components in time domain
- Recognize transformations of continuous-time (CT) and discrete-time (DT) functions
- Identify real and complex exponential CT and DT functions
- Sketch signals and system responses (using MATLAB®)
- Recognize periodicity and identify harmonics of CT and DT functions
- Identify and use impulse and signals derived from it
- Generate a signal from its harmonics (using MATLAB®)
- Describe systems using differential/difference equations
- Compute the impulse response of the system given the differential/difference equation
- Compute the output of a system for a given input and its impulse response
- Describe systems using block diagrams and transfer functions
- Infer transfer functions from block diagrams and differential/difference equations and vice versa
- Produce the frequency response function from the transfer function
- Infer output from the transfer function and input
- Predict bounded input bounded output stability of a linear time-invariant system
- Compute continuous and discrete-time Fourier transforms
- Sketch Fourier transform and frequency response plots using MATLAB®
- Develop the frequency response function from the Bode plots
- Compute system parameters from step and sinusoidal frequency response plots
- Solve mathematical problems using MATLAB®
- Formulate system characteristics in MATLAB®
- Design a biomedical signal processor to extract a feature from the raw biomedical signal
- Use experiments to find transient, steady state and frequency responses of first and second order systems
- Identify transfer function model for a given system and asses the time and frequency behavior of the system
- Assess affects of sampling rate in generating the discrete-time signals and estimate the proper sampling frequency
- Predict the number samples needed to study a continuous-time signal and choose a proper window function
- Analyze problems in a team work setting and evaluate the performance of team members
- Illustrate results and solutions in a written report
- Orally present and defend his solutions
- Demonstrate independent problem solving and life-long learning skills
- Statistically analyze data