Biomedical Signals
College Bulletin - Course Catalog

ENGR 091. Biomedical Signals

This course explores methods for the analysis of biomedical signals. The types of signals discussed in this course include those that emanate from electrical activity in the body, such as electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG).  In addition, this course will examine signals generated from external sources such as image data from x-rays, computed tomography (CT), magnetic resonance images  (MRI), and ultrasound.  Methods of analysis for biomedical signals and images studied in this course include standard digital signal processing techniques as well as newer time-frequency domain methods such as the wavelet transform.  Applications of these methods include filtering, denoising, spectral estimation, and classification. Topics such as the Radon transform, used in tomographic reconstruction of image data, will also be covered.
This class includes a laboratory and project. 
Prerequisite: ENGR 012  or permission of the instructor.
Includes laboratory and project.
1 credit.
Spring 2019. Moser.
Catalog chapter: Engineering  
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Check the Spring 2018 Schedule of Courses

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