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Undergraduate Programs
Home / Undergraduate Programs / Courses / Measurement and Data Analysis in Biomedical Engineering

ECE 417/BME 417

Measurement and Data Analysis in Biomedical Engineering

Spring
Required Course:
No

Course Level

Undergraduate

Units

3

Instructor(s)

Janet Roveda, Professor
Urs Utzinger, Professor

Prerequisite(s)

Senior status only.

Schedule

One 75 minute lectures per week, T 09:00 AM - 10:45 AM and TH 08:00 AM - 08:50 AM.

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:

  1. Use circuit components and chip components to design accelerometer.
  2. Use circuit components and chip components to design ECG.
  3. Use circuit components and chip components to design pulse oximeter.
  4. Use materials to design masks, wearable sensors and wearable robots.
  5. 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.

Syllabus Prepared By

Syllabus updated on 3/29/2022
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Department of Electrical & Computer Engineering
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P.O. Box 210104
Tucson, AZ 85721-0104
520.621.6193

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