Prerequisite: BME 320 with a grade of “C” or better Introduction to computational methods and machine learning techniques to analyze cardiovascular and cerebrovascular systems and signals and detect/predict a physiological event of interest. Parametric and non-parametric classification. Hidden Markov models. Clustering. Entropy.
Letter grade only (A-F). (Lecture 2 hours, Laboratory 3 hours)
