ENGR 051. 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.
Prerequisite: ENGR 012  or permission of instructor.
Natural sciences and engineering practicum.
Lab and project included.
1.0 credit.
Fall 2022. Moser.
Catalog chapter: Engineering  
Department website: https://www.swarthmore.edu/engineering

Check the Spring 2022 Schedule of Courses

Check the Fall 2022 Schedule of Courses

Print-Friendly Page (opens a new window)