BME 4330
Biomedical Signal Processing
An advanced undergraduate/graduate level course. Continuous-time and discrete-time application of signal processing tools to a variety of biomedical problems. Course topics include linear systems theory, frequency transforms, sampling theorem, basis functions, linear filtering, feature extraction, noise analysis, system identification. Concepts learned in class will be applied using software tools to real biomedical signals such as speech, ECG, EEG, medical images.
Prerequisites & course information
Credit 3 units. Eng: TOP Typical periods offered: Spring
Sources
- Course catalogue โ2026โ2027