COMPUTERS IN MEDICINE

Prerequisites & course information

Requisites: E C E 330 and ( COMP SCI 200 , 220 , 300 , 301, or placement into COMP SCI 300 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Solve complicated mathematical problems with design of digital filters for biomedical signals Audience: Both Grad & Undergrad 2. Build electrocardiogram (ECG) instrumentation system to view their ECG and use it as an input to a microcontroller for signal analysis Audience: Both Grad & Undergrad 3. Employ simulation tools to design and test a variety of linear digital filters Audience: Both Grad & Undergrad 4. Perform experiments, analyze and interpret the performance of digital filters on a database of ECGs Audience: Both Grad & Undergrad 5. Write microcontroller code for real-time processing of biomedical signals, particularly the ECG, to attenuate diverse noise sources and find clinically-significant features Audience: Both Grad & Undergrad 6. Demonstrate an ability to formulate and, independently design and implement digital filters and algorithm to process biomedical signals Audience: Graduate Learning Outcomes: 1. Solve complicated mathematical problems with design of digital filters for biomedical signals Audience: Both Grad & Undergrad 2. Build electrocardiogram (ECG) instrumentation system to view their ECG and use it as an input to a microcontroller for signal analysis Audience: Both Grad & Undergrad 3. Employ simulation tools to design and test a variety of linear digital filters Audience: Both Grad & Undergrad 4. Perform experiments, analyze and interpret the performance of digital filters on a database of ECGs Audience: Both Grad & Undergrad 5. Write microcontroller code for real-time processing of biomedical signals, particularly the ECG, to attenuate diverse noise sources and find clinically-significant features Audience: Both Grad & Undergrad 6. Demonstrate an ability to formulate and, independently design and implement digital filters and algorithm to process biomedical signals Audience: Graduate