BMSC 626 - Physiological Signal Processing

Credit(s): 3

PHYSIOLOGICAL SIGNA PROCESSING
Component: Lecture
The goal is for students to acquire a hands-on knowledge of signal processing techniques relevant to their day work in the research lab. We will first revisit some of the underlying mathematical tools with a focus on refreshing how to use them and forming an intuitive understanding of what they do and mean. Then we will introduce the main concepts and techniques of processing measured signals, including dealing with noise, estimating power spectra, extracting linear relationships and quantifying the relationship of two signals to each other. We will finish with a term project, where students apply the acquired skills to a problem from their own research. The course makes heavy use of MATLAB to process data and it is expected that students have decent knowledge of the basics of MATLAB or a similar language, such as acquired in the class “Introduction to Programming in MATLAB”.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
Crosslisted: Crosslisted with KAAP 626.

Course Typically Offered: Spring