BMES-3154: Biosignal Processing and Classification

Description: Introduction to the concepts and applications of digital signal processing and machine learning on bioinstrumentation signals from physiologic systems. Emphasis on processing techniques for electrocardiogram (ECG), electromyography (EMG), and speech signals. Apply basic machine learning algorithms for diagnostic classification of biosignals.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: BMES-2104 and (AOE-2074 or BMES-2074 or BSE-3144 or CS-1044 or CS-1064 or CS-1054 or CS-1114 or ME-2004 or ESM-2074)

Required By: N/A

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

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Sections Taught: 2

Average GPA: 3.79 (A)

Strict A Rate (No A-) : 71.65%

Average Withdrawal Rate: 0.00%


Steven Rowson	2023	81.7%	18.4%	0.0%	0.0%	0.0%	0.0%	3.80	2

BMES-3154: Biosignal Processing and Classification

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