ECE 417/BME 417
Measurement and Data Analysis in Biomedical Engineering
Course Level
Units
Instructor(s)
Prerequisite(s)
Schedule
Course Description
Specific Course Information:
2021-2022 Catalog Data: Topics in biomedical instrumentation, sensors, physiological measurements, analog and digital signal processing, data acquisition, data reduction, statistical treatment of data, and safety issues. The course includes both lecture and structured laboratory components.
Learning Outcomes
Specific Goals for the Course:
Outcomes of Instruction: By the end of this course the student will be able to:
- Use circuit components and chip components to design accelerometer.
- Use circuit components and chip components to design ECG.
- Use circuit components and chip components to design pulse oximeter.
- Use materials to design masks, wearable sensors and wearable robots.
- Develop sensor firmware for biomedical applications.
Course Topics
Brief list of topics to be covered:
Measurement theory, data analysis, system design for ECG, accelerometer, EEG, thermometer, body sensor network, pulse oximeter, firmware, materials for medical applications.
Relationship to Student Outcomes
ECE 417 contributes directly to the following specific electrical and computer engineering student outcomes of the ECE department:
1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.