The sensing, detection, processing, estimation and classification of biological signals are core to biomedical engineering. This course builds on basic understanding of discrete- and continuous-time signals and applies it to the processing of biomedical signals that can be used to infer the physiological state of a living organism. Time, frequency, and joint time-frequency domain processing of specific important biological signals such as EEG, ECG and vital signs (such as heart rate, blood pressure and respiration) are considered. Understanding of linear systems theory in both discrete and continuous time is required before taking this course. Prerequisites: cumulative GPA of 4.50 or better over all major EECS courses (without the second digit "5"); LE/EECS 3602 4.00 or LE/EECS 3451 4.00.
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