EBME 412. Biomedical Signal Processing
Course Syllabus
Textbook
Digital Signal Processing. Proakis, Manolakis
Class notes
Course Topics
1. Introduction to biomedical signals
2. Sampling, aliasing; examples from MRI and ECG sampling
3. Analog-to-digital and digital-to-analog conversion
4. Discrete-time systems, Laplace transforms, stability of systems
5. Z-transforms, stability of systems, Fourier series; application in tremor compensation
6. Fourier-transformation, DTFT
7. DFT, applications in medical imaging, respiratory sound analysis
8. FFT, applications Magnetic Resonance Imaging
9. Ultrasound tissue characterization, doppler measurement of blood flow time, ultrasound elastography for movement
10. Frequency analysis, wavelet-transformations, applications in BME, fast MR imaging
11. Filtering: FIR filters, IIR filters (filter design II), frequency transformation
12. Interpolation methods and algorithms
13. Applications in medical PET imaging
14. Applications in BME
15. Random signals and probability theory as applied to ionic channel molecules (binomial and Poisson distributions of channel opening, non-stationary analysis of channel opening)
16. Spectral estimation, applications in medical x-ray image characterization, measurement of ionic channel dynamics
17. Matched filtering and its use in signal detection and as a model of human visual detection of targets
|
