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4810. Machine Learning Methods for Biomedical Signal Analysis

3.00 credits

Prerequisites: CSE 1010 and STAT 3025Q; open only to Biomedical Engineering majors, others by instructor consent. Not open for credit to students who have passed BME 4985 when taught as Advanced Methods for Biomedical Signal.

Grading Basis: Graded

The objective of this course is to learn the basic machine learning concepts and tools that are required in modern biomedical engineering to model, analyze, and classify physiological time series. Specific focus is on multivariate data and time series extracted from multiple physiological sources, including (but not limited to) ECG, EEG, and EMG. Through a mix of lectures and hands-on laboratory experiences, the students will learn how to design and implement a machine learning project, how to use advanced statistical tools and methods to classify data, infer predictions, and validate data-driven predictive models.

Last Refreshed: 20-JAN-22 AM
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Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Spring 2022 Storrs In Person Santaniello, Sabato 001 Reg We 5:00pm‑8:00pm
E2 306 10/10